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 +358 -0
- training_eval_loss.png +0 -0
- training_loss.png +0 -0
README.md
CHANGED
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@@ -4,6 +4,7 @@ license: gemma
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base_model: google/gemma-2-9b
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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_gemma_epoch1
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@@ -15,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
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# hp_ablations_gemma_epoch1
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-
This model is a fine-tuned version of [google/gemma-2-9b](https://huggingface.co/google/gemma-2-9b) on
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It achieves the following results on the evaluation set:
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- Loss: 0.5913
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base_model: google/gemma-2-9b
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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_gemma_epoch1
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# hp_ablations_gemma_epoch1
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+
This model is a fine-tuned version of [google/gemma-2-9b](https://huggingface.co/google/gemma-2-9b) on the mlfoundations-dev/oh-dcft-v3.1-gpt-4o-mini dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5913
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all_results.json
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{
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"epoch": 0.9997179125528914,
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"eval_loss": 0.5912777781486511,
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"eval_runtime": 700.6578,
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"eval_samples_per_second": 17.043,
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"eval_steps_per_second": 0.534,
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"total_flos": 1687906242527232.0,
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"train_loss": 0.6135331322323387,
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"train_runtime": 40842.8187,
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"train_samples_per_second": 5.555,
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"train_steps_per_second": 0.011
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}
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eval_results.json
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{
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"epoch": 0.9997179125528914,
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"eval_loss": 0.5912777781486511,
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+
"eval_runtime": 700.6578,
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+
"eval_samples_per_second": 17.043,
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"eval_steps_per_second": 0.534
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}
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train_results.json
ADDED
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@@ -0,0 +1,8 @@
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{
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"epoch": 0.9997179125528914,
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"total_flos": 1687906242527232.0,
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"train_loss": 0.6135331322323387,
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"train_runtime": 40842.8187,
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"train_samples_per_second": 5.555,
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"train_steps_per_second": 0.011
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}
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trainer_state.json
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training_loss.png
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