End of training
Browse files- README.md +2 -1
- all_results.json +12 -0
- eval_results.json +7 -0
- train_results.json +8 -0
- trainer_state.json +241 -0
- training_eval_loss.png +0 -0
- training_loss.png +0 -0
README.md
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@@ -4,6 +4,7 @@ license: apache-2.0
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base_model: mistralai/Mistral-7B-v0.1
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tags:
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- llama-factory
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- generated_from_trainer
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model-index:
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- name: hp_ablations_grid_mistral_bsz4096_lr5e-6_scheduler-cosine-warmup0.15-minlr5e-7
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# hp_ablations_grid_mistral_bsz4096_lr5e-6_scheduler-cosine-warmup0.15-minlr5e-7
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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
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It achieves the following results on the evaluation set:
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- Loss: 0.0595
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base_model: mistralai/Mistral-7B-v0.1
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tags:
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- llama-factory
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+
- full
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- generated_from_trainer
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model-index:
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- name: hp_ablations_grid_mistral_bsz4096_lr5e-6_scheduler-cosine-warmup0.15-minlr5e-7
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# hp_ablations_grid_mistral_bsz4096_lr5e-6_scheduler-cosine-warmup0.15-minlr5e-7
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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 mlfoundations-dev/oh-dcft-v3-llama3.1-nemotron-70b_shareGPT_format dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0595
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all_results.json
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"epoch": 3.0,
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"eval_loss": 0.059506773948669434,
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"train_steps_per_second": 0.017
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}
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eval_results.json
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}
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train_results.json
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}
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trainer_state.json
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training_eval_loss.png
ADDED
|
training_loss.png
ADDED
|