Commit
•
554d04c
1
Parent(s):
babd88b
Initial model upload
Browse files- README (1).md +91 -0
- README.md +91 -0
- config (1).json +32 -0
- config.json +32 -0
- generation_config (1).json +6 -0
- generation_config.json +6 -0
- logs/events.out.tfevents.1731919122.3e909969168f.182.0 +3 -0
- logs/events.out.tfevents.1731919322.1cd0b8094c4b.185.0 +3 -0
- logs/events.out.tfevents.1731919627.1cd0b8094c4b.185.1 +3 -0
- logs/events.out.tfevents.1731922388.f451f1c830e7.553.0 +3 -0
- logs/events.out.tfevents.1731923539.05fd0bfb43a8.1118.0 +3 -0
- model (1).safetensors +3 -0
- model.safetensors +3 -0
- special_tokens_map (1).json +24 -0
- special_tokens_map.json +24 -0
- tokenizer (1).json +0 -0
- tokenizer.json +0 -0
- tokenizer_config (1).json +214 -0
- tokenizer_config.json +214 -0
- training_args (1).bin +3 -0
- training_args.bin +3 -0
README (1).md
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---
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library_name: transformers
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license: apache-2.0
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base_model: EleutherAI/pythia-70m
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tags:
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- generated_from_trainer
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model-index:
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- name: pythia_70m_sft
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# pythia_70m_sft
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This model is a fine-tuned version of [EleutherAI/pythia-70m](https://huggingface.co/EleutherAI/pythia-70m) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.4023
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- num_epochs: 3
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 2.8612 | 0.0889 | 100 | 2.7705 |
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| 2.7799 | 0.1778 | 200 | 2.7116 |
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| 2.754 | 0.2667 | 300 | 2.6827 |
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| 2.7035 | 0.3556 | 400 | 2.6482 |
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| 2.6667 | 0.4444 | 500 | 2.6296 |
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| 2.6568 | 0.5333 | 600 | 2.6048 |
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| 2.6233 | 0.6222 | 700 | 2.5862 |
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| 2.5956 | 0.7111 | 800 | 2.5790 |
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| 2.5635 | 0.8 | 900 | 2.5436 |
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| 2.5469 | 0.8889 | 1000 | 2.5445 |
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| 2.499 | 0.9778 | 1100 | 2.5155 |
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| 2.3677 | 1.0667 | 1200 | 2.5158 |
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| 2.326 | 1.1556 | 1300 | 2.5018 |
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| 2.3132 | 1.2444 | 1400 | 2.5023 |
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| 2.3401 | 1.3333 | 1500 | 2.5026 |
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| 2.3027 | 1.4222 | 1600 | 2.4953 |
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| 2.3223 | 1.5111 | 1700 | 2.4804 |
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| 2.3186 | 1.6 | 1800 | 2.4776 |
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| 2.3187 | 1.6889 | 1900 | 2.4709 |
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| 2.3102 | 1.7778 | 2000 | 2.4618 |
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| 2.3129 | 1.8667 | 2100 | 2.4526 |
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| 2.287 | 1.9556 | 2200 | 2.4456 |
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| 2.1946 | 2.0444 | 2300 | 2.4423 |
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| 2.1757 | 2.1333 | 2400 | 2.4408 |
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| 2.1308 | 2.2222 | 2500 | 2.4383 |
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| 2.1475 | 2.3111 | 2600 | 2.4283 |
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| 2.155 | 2.4 | 2700 | 2.4231 |
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| 2.1197 | 2.4889 | 2800 | 2.4222 |
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| 2.1225 | 2.5778 | 2900 | 2.4173 |
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| 2.1196 | 2.6667 | 3000 | 2.4118 |
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| 2.146 | 2.7556 | 3100 | 2.4075 |
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| 2.1361 | 2.8444 | 3200 | 2.4046 |
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| 2.0965 | 2.9333 | 3300 | 2.4023 |
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### Framework versions
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- Transformers 4.46.2
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- Pytorch 2.5.1+cu121
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- Datasets 3.1.0
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- Tokenizers 0.20.3
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README.md
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---
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library_name: transformers
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license: apache-2.0
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base_model: EleutherAI/pythia-160m
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tags:
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- generated_from_trainer
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model-index:
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- name: pythia_160m_sft
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results: []
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| 10 |
+
---
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| 11 |
+
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| 12 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 13 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 14 |
+
|
| 15 |
+
# pythia_160m_sft
|
| 16 |
+
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| 17 |
+
This model is a fine-tuned version of [EleutherAI/pythia-160m](https://huggingface.co/EleutherAI/pythia-160m) on an unknown dataset.
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+
It achieves the following results on the evaluation set:
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- Loss: 2.1033
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## Model description
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More information needed
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+
## Intended uses & limitations
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| 26 |
+
|
| 27 |
+
More information needed
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| 28 |
+
|
| 29 |
+
## Training and evaluation data
|
| 30 |
+
|
| 31 |
+
More information needed
|
| 32 |
+
|
| 33 |
+
## Training procedure
|
| 34 |
+
|
| 35 |
+
### Training hyperparameters
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| 36 |
+
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| 37 |
+
The following hyperparameters were used during training:
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| 38 |
+
- learning_rate: 2e-05
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+
- train_batch_size: 8
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| 40 |
+
- eval_batch_size: 8
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- seed: 42
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| 42 |
+
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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| 43 |
+
- lr_scheduler_type: linear
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+
- num_epochs: 3
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- mixed_precision_training: Native AMP
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| 46 |
+
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### Training results
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| 48 |
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| Training Loss | Epoch | Step | Validation Loss |
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| 50 |
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|:-------------:|:------:|:----:|:---------------:|
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| 2.3332 | 0.0889 | 100 | 2.2776 |
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| 2.3071 | 0.1778 | 200 | 2.2564 |
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| 2.2941 | 0.2667 | 300 | 2.2301 |
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| 2.2548 | 0.3556 | 400 | 2.2094 |
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| 2.2246 | 0.4444 | 500 | 2.1973 |
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| 2.2189 | 0.5333 | 600 | 2.1705 |
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| 2.181 | 0.6222 | 700 | 2.1498 |
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| 2.1515 | 0.7111 | 800 | 2.1399 |
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| 2.1333 | 0.8 | 900 | 2.1212 |
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| 2.1139 | 0.8889 | 1000 | 2.1050 |
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| 2.0778 | 0.9778 | 1100 | 2.0970 |
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| 1.8312 | 1.0667 | 1200 | 2.1071 |
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| 1.7405 | 1.1556 | 1300 | 2.1022 |
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| 1.7284 | 1.2444 | 1400 | 2.1049 |
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| 1.7554 | 1.3333 | 1500 | 2.1023 |
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| 1.732 | 1.4222 | 1600 | 2.0934 |
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| 1.7474 | 1.5111 | 1700 | 2.0917 |
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| 1.7495 | 1.6 | 1800 | 2.0820 |
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| 1.7449 | 1.6889 | 1900 | 2.0770 |
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| 1.7474 | 1.7778 | 2000 | 2.0708 |
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| 1.7447 | 1.8667 | 2100 | 2.0643 |
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| 1.7138 | 1.9556 | 2200 | 2.0550 |
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| 1.5662 | 2.0444 | 2300 | 2.1122 |
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| 1.4506 | 2.1333 | 2400 | 2.1203 |
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| 1.4282 | 2.2222 | 2500 | 2.1225 |
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| 1.4302 | 2.3111 | 2600 | 2.1173 |
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| 1.4471 | 2.4 | 2700 | 2.1156 |
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| 78 |
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| 1.4217 | 2.4889 | 2800 | 2.1168 |
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| 79 |
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| 1.428 | 2.5778 | 2900 | 2.1126 |
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| 80 |
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| 1.4206 | 2.6667 | 3000 | 2.1059 |
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| 81 |
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| 1.4315 | 2.7556 | 3100 | 2.1068 |
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| 82 |
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| 1.4345 | 2.8444 | 3200 | 2.1037 |
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| 83 |
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| 1.4034 | 2.9333 | 3300 | 2.1033 |
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| 84 |
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| 85 |
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| 86 |
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### Framework versions
|
| 87 |
+
|
| 88 |
+
- Transformers 4.46.2
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| 89 |
+
- Pytorch 2.5.1+cu121
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| 90 |
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- Datasets 3.1.0
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| 91 |
+
- Tokenizers 0.20.3
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config (1).json
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{
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"_name_or_path": "EleutherAI/pythia-70m",
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"architectures": [
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"GPTNeoXForCausalLM"
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],
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"attention_bias": true,
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| 7 |
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"attention_dropout": 0.0,
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| 8 |
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"bos_token_id": 0,
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"classifier_dropout": 0.1,
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| 10 |
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"eos_token_id": 0,
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| 11 |
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"hidden_act": "gelu",
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| 12 |
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"hidden_dropout": 0.0,
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"hidden_size": 512,
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| 14 |
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"initializer_range": 0.02,
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| 15 |
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"intermediate_size": 2048,
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| 16 |
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"layer_norm_eps": 1e-05,
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| 17 |
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"max_position_embeddings": 2048,
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"model_type": "gpt_neox",
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| 19 |
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"num_attention_heads": 8,
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| 20 |
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"num_hidden_layers": 6,
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| 21 |
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"partial_rotary_factor": 0.25,
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| 22 |
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"rope_scaling": null,
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| 23 |
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"rope_theta": 10000,
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| 24 |
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"rotary_emb_base": 10000,
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| 25 |
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"rotary_pct": 0.25,
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| 26 |
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"tie_word_embeddings": false,
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"torch_dtype": "float32",
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| 28 |
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"transformers_version": "4.46.2",
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| 29 |
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"use_cache": true,
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| 30 |
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"use_parallel_residual": true,
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| 31 |
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"vocab_size": 50304
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}
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config.json
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{
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"_name_or_path": "EleutherAI/pythia-160m",
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"architectures": [
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"GPTNeoXForCausalLM"
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],
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"attention_bias": true,
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| 7 |
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"attention_dropout": 0.0,
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| 8 |
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"bos_token_id": 0,
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| 9 |
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"classifier_dropout": 0.1,
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| 10 |
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"eos_token_id": 0,
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| 11 |
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"hidden_act": "gelu",
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| 12 |
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"hidden_dropout": 0.0,
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| 13 |
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"hidden_size": 768,
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| 14 |
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"initializer_range": 0.02,
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| 15 |
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"intermediate_size": 3072,
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| 16 |
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"layer_norm_eps": 1e-05,
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| 17 |
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"max_position_embeddings": 2048,
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| 18 |
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"model_type": "gpt_neox",
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| 19 |
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"num_attention_heads": 12,
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| 20 |
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"num_hidden_layers": 12,
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| 21 |
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"partial_rotary_factor": 0.25,
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| 22 |
+
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|
| 157 |
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|
| 158 |
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|
| 159 |
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|
| 160 |
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|
| 161 |
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|
| 162 |
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|
| 163 |
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|
| 164 |
+
"special": false
|
| 165 |
+
},
|
| 166 |
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"50272": {
|
| 167 |
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|
| 168 |
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|
| 169 |
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|
| 170 |
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|
| 171 |
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|
| 172 |
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|
| 173 |
+
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|
| 174 |
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"50273": {
|
| 175 |
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|
| 176 |
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|
| 177 |
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|
| 178 |
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|
| 179 |
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"single_word": false,
|
| 180 |
+
"special": false
|
| 181 |
+
},
|
| 182 |
+
"50274": {
|
| 183 |
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|
| 184 |
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|
| 185 |
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|
| 186 |
+
"rstrip": false,
|
| 187 |
+
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|
| 188 |
+
"special": false
|
| 189 |
+
},
|
| 190 |
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"50275": {
|
| 191 |
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|
| 192 |
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"lstrip": false,
|
| 193 |
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"normalized": true,
|
| 194 |
+
"rstrip": false,
|
| 195 |
+
"single_word": false,
|
| 196 |
+
"special": false
|
| 197 |
+
},
|
| 198 |
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"50276": {
|
| 199 |
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|
| 200 |
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|
| 201 |
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|
| 202 |
+
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|
| 203 |
+
"single_word": false,
|
| 204 |
+
"special": false
|
| 205 |
+
}
|
| 206 |
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},
|
| 207 |
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"bos_token": "<|endoftext|>",
|
| 208 |
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"clean_up_tokenization_spaces": false,
|
| 209 |
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|
| 210 |
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"model_max_length": 1000000000000000019884624838656,
|
| 211 |
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"pad_token": "<|endoftext|>",
|
| 212 |
+
"tokenizer_class": "GPTNeoXTokenizer",
|
| 213 |
+
"unk_token": "<|endoftext|>"
|
| 214 |
+
}
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,214 @@
|
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|
|
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|
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|
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|
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|
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|
| 1 |
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{
|
| 2 |
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|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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| 9 |
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| 16 |
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|
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|
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|
| 28 |
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|
| 29 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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|
| 33 |
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|
| 34 |
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|
| 35 |
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|
| 36 |
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|
| 37 |
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|
| 38 |
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|
| 39 |
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|
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|
| 41 |
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|
| 42 |
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|
| 43 |
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|
| 44 |
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|
| 45 |
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|
| 46 |
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|
| 47 |
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|
| 48 |
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|
| 49 |
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|
| 50 |
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|
| 51 |
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|
| 52 |
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|
| 53 |
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|
| 54 |
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|
| 55 |
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|
| 56 |
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|
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|
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|
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|
| 60 |
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|
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|
| 62 |
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|
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|
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|
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|
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|
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|
| 68 |
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|
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|
| 70 |
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|
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|
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|
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|
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|
| 87 |
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|
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|
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|
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|
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|
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|
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|
| 95 |
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|
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| 101 |
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|
| 103 |
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| 104 |
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|
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|
| 106 |
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|
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|
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|
| 109 |
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|
| 111 |
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|
| 112 |
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|
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|
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|
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|
| 116 |
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|
| 117 |
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|
| 119 |
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|
| 120 |
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|
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|
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|
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|
| 124 |
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|
| 125 |
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|
| 126 |
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|
| 127 |
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|
| 128 |
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|
| 129 |
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|
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|
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|
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| 134 |
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|
| 135 |
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|
| 136 |
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|
| 137 |
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|
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|
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|
| 140 |
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|
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| 142 |
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|
| 143 |
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|
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|
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|
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|
| 148 |
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|
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|
| 150 |
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|
| 151 |
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|
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|
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|
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|
| 157 |
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|
| 159 |
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
| 183 |
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|
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|
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|
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|
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|
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|
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|
| 190 |
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|
| 191 |
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|
| 192 |
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|
| 193 |
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|
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|
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|
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|
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|
| 198 |
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|
| 199 |
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|
| 200 |
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|
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|
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|
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|
| 204 |
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|
| 205 |
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|
| 206 |
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|
| 207 |
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|
| 208 |
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|
| 209 |
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|
| 210 |
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|
| 211 |
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|
| 212 |
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|
| 213 |
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|
| 214 |
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}
|
training_args (1).bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
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oid sha256:372d5c4f9bc9b66ca290960c1ea9131b8232d5334e429529fd6a9adeab4d94cf
|
| 3 |
+
size 5240
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
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|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:1a25a53601ab9c07d6da59917595cc80b6bdb83ae8c0bbbe5dddfc9052d7ad4d
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| 3 |
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size 5240
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