Commit
•
91b413e
1
Parent(s):
387b9e3
Model save
Browse files- README.md +75 -0
- adapter_model.safetensors +1 -1
- all_results.json +9 -0
- train_results.json +9 -0
- trainer_state.json +356 -0
README.md
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---
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base_model: mistralai/Mistral-7B-Instruct-v0.3
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library_name: peft
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license: apache-2.0
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tags:
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- trl
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- sft
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- generated_from_trainer
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model-index:
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- name: Mistral-7B_task-1_120-samples_config-2
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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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# Mistral-7B_task-1_120-samples_config-2
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This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.3](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.1465
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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: 0.0001
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- train_batch_size: 1
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- eval_batch_size: 1
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- seed: 42
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- distributed_type: multi-GPU
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- gradient_accumulation_steps: 16
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- total_train_batch_size: 16
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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: 0.1
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- num_epochs: 50
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-------:|:----:|:---------------:|
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| 2.2934 | 0.9091 | 5 | 2.0668 |
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| 1.592 | 2.0 | 11 | 1.4282 |
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| 1.2147 | 2.9091 | 16 | 1.2907 |
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| 1.0354 | 4.0 | 22 | 1.1563 |
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| 0.907 | 4.9091 | 27 | 1.1639 |
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| 0.6665 | 6.0 | 33 | 1.2559 |
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| 0.3785 | 6.9091 | 38 | 1.4904 |
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| 0.1927 | 8.0 | 44 | 1.8472 |
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| 0.0701 | 8.9091 | 49 | 2.0194 |
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| 0.0521 | 10.0 | 55 | 2.1609 |
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| 0.0379 | 10.9091 | 60 | 2.1465 |
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### Framework versions
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- PEFT 0.12.0
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- Transformers 4.44.0
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- Pytorch 2.1.2+cu121
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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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:
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size 167832240
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:aa8015e79b8126d6e84d3c375bcfedd9d79fa2415cf6ae5f446e60e730950fcb
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size 167832240
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all_results.json
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{
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"epoch": 10.909090909090908,
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"total_flos": 1.4581627275444224e+16,
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"train_loss": 0.7998790429672227,
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"train_runtime": 1139.5176,
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"train_samples": 88,
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"train_samples_per_second": 3.861,
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"train_steps_per_second": 0.219
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}
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train_results.json
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{
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"epoch": 10.909090909090908,
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"total_flos": 1.4581627275444224e+16,
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"train_loss": 0.7998790429672227,
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"train_runtime": 1139.5176,
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"train_samples": 88,
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"train_samples_per_second": 3.861,
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"train_steps_per_second": 0.219
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}
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trainer_state.json
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{
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"best_metric": 1.1562939882278442,
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| 3 |
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"best_model_checkpoint": "data/Mistral-7B_task-1_120-samples_config-2/checkpoint-22",
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{
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