Model save
Browse files- README.md +26 -15
- all_results.json +6 -11
- train_results.json +6 -6
- trainer_state.json +1769 -886
README.md
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license: apache-2.0
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base_model: mistralai/Mistral-7B-v0.1
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tags:
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- alignment-handbook
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- trl
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- sft
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- generated_from_trainer
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- trl
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- sft
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- generated_from_trainer
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datasets:
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model-index:
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- name: zephyr-7b-sft-full
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results: []
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@@ -22,9 +18,9 @@ should probably proofread and complete it, then remove this comment. -->
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# zephyr-7b-sft-full
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This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the
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It achieves the following results on the evaluation set:
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- Loss: 0.
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## Model description
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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: 16
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- eval_batch_size:
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices:
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- total_train_batch_size:
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- total_eval_batch_size:
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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:
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### Training results
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| Training Loss | Epoch
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### Framework versions
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license: apache-2.0
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base_model: mistralai/Mistral-7B-v0.1
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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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datasets:
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- generator
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model-index:
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- name: zephyr-7b-sft-full
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results: []
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# zephyr-7b-sft-full
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This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the generator dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.9934
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## Model description
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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: 16
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- eval_batch_size: 16
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 16
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- total_train_batch_size: 256
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- total_eval_batch_size: 256
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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: 3.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 0.9681 | 0.1845 | 100 | 0.9788 |
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| 0.9962 | 0.3690 | 200 | 1.0030 |
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| 0.9917 | 0.5535 | 300 | 1.0008 |
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| 0.9652 | 0.7380 | 400 | 0.9939 |
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| 0.9666 | 0.9225 | 500 | 0.9816 |
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| 0.7366 | 1.1070 | 600 | 0.9852 |
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| 0.7228 | 1.2915 | 700 | 0.9835 |
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| 0.7319 | 1.4760 | 800 | 0.9644 |
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| 0.7177 | 1.6605 | 900 | 0.9529 |
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| 0.7095 | 1.8450 | 1000 | 0.9394 |
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| 0.4465 | 2.0295 | 1100 | 0.9917 |
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| 0.4341 | 2.2140 | 1200 | 0.9979 |
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| 0.432 | 2.3985 | 1300 | 0.9954 |
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| 0.4301 | 2.5830 | 1400 | 0.9943 |
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| 0.4361 | 2.7675 | 1500 | 0.9931 |
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| 0.4256 | 2.9520 | 1600 | 0.9934 |
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### Framework versions
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all_results.json
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train_results.json
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trainer_state.json
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