End of training
Browse files- README.md +55 -0
- adapter_config.json +25 -0
- adapter_model.safetensors +3 -0
- runs/Nov16_21-07-46_483e1a41ed07/events.out.tfevents.1700168871.483e1a41ed07.1398.1 +3 -0
- runs/Nov16_21-28-03_847ecd359e38/events.out.tfevents.1700170091.847ecd359e38.3089.0 +3 -0
- special_tokens_map.json +17 -0
- tokenizer.json +0 -0
- tokenizer_config.json +119 -0
- training_args.bin +3 -0
README.md
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---
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base_model: ybelkada/falcon-7b-sharded-bf16
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tags:
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- generated_from_trainer
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model-index:
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- name: falcon-7b-sharded-bf16-finetuned-ToxiGen-epoch2
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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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# falcon-7b-sharded-bf16-finetuned-ToxiGen-epoch2
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This model is a fine-tuned version of [ybelkada/falcon-7b-sharded-bf16](https://huggingface.co/ybelkada/falcon-7b-sharded-bf16) on the None dataset.
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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: 0.0002
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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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- gradient_accumulation_steps: 4
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- total_train_batch_size: 32
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.03
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- num_epochs: 2
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- mixed_precision_training: Native AMP
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### Training results
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### Framework versions
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- Transformers 4.35.2
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- Pytorch 2.1.0+cu118
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- Datasets 2.15.0
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- Tokenizers 0.15.0
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adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "ybelkada/falcon-7b-sharded-bf16",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layers_pattern": null,
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"layers_to_transform": null,
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"lora_alpha": 16,
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"lora_dropout": 0.1,
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 64,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"dense_h_to_4h",
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"dense_4h_to_h",
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"dense",
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"query_key_value"
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],
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"task_type": "CAUSAL_LM"
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}
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:bb56ad780c7324f1928179bdf1b67d805cc0db12a5f9c355ba7fc09def147f17
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size 522227376
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runs/Nov16_21-07-46_483e1a41ed07/events.out.tfevents.1700168871.483e1a41ed07.1398.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:390edaccd0c489351e12c77a5985cec34391762f09a69b469823c1db6cb794ee
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size 9394
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runs/Nov16_21-28-03_847ecd359e38/events.out.tfevents.1700170091.847ecd359e38.3089.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:039e2e5912ce89afaeefe851f3797b6cb941cb6974ecf63f3ef1cafaf9ce8d39
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size 13987
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special_tokens_map.json
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{
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"additional_special_tokens": [
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">>TITLE<<",
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">>ABSTRACT<<",
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">>INTRODUCTION<<",
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">>SUMMARY<<",
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">>COMMENT<<",
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">>ANSWER<<",
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">>QUESTION<<",
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">>DOMAIN<<",
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">>PREFIX<<",
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">>SUFFIX<<",
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">>MIDDLE<<"
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],
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"eos_token": "<|endoftext|>",
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"pad_token": "<|endoftext|>"
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}
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tokenizer.json
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The diff for this file is too large to render.
See raw diff
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tokenizer_config.json
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},
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},
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}
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},
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"additional_special_tokens": [
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">>TITLE<<",
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">>ABSTRACT<<",
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">>INTRODUCTION<<",
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">>SUMMARY<<",
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">>COMMENT<<",
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">>ANSWER<<",
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">>QUESTION<<",
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">>DOMAIN<<",
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">>PREFIX<<",
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">>SUFFIX<<",
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">>MIDDLE<<"
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],
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"clean_up_tokenization_spaces": true,
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"eos_token": "<|endoftext|>",
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"model_max_length": 2048,
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"pad_token": "<|endoftext|>",
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"tokenizer_class": "PreTrainedTokenizerFast"
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}
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:d759fb453cdde4fcd5e6d16a133651d15b445622e30bfe43d670f696009b86ef
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size 4664
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