End of training
Browse files- README.md +3 -2
- all_results.json +12 -0
- eval_results.json +7 -0
- train_results.json +8 -0
- trainer_state.json +2837 -0
- training_eval_loss.png +0 -0
- training_loss.png +0 -0
README.md
CHANGED
@@ -4,6 +4,7 @@ license: mit
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base_model: klyang/MentaLLaMA-chat-7B-hf
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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: MentaLLaMA-chat-7B-PsyCourse-fold9
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@@ -15,9 +16,9 @@ should probably proofread and complete it, then remove this comment. -->
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# MentaLLaMA-chat-7B-PsyCourse-fold9
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-
This model is a fine-tuned version of [klyang/MentaLLaMA-chat-7B-hf](https://huggingface.co/klyang/MentaLLaMA-chat-7B-hf) on
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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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base_model: klyang/MentaLLaMA-chat-7B-hf
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tags:
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- llama-factory
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+
- lora
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- generated_from_trainer
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model-index:
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- name: MentaLLaMA-chat-7B-PsyCourse-fold9
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# MentaLLaMA-chat-7B-PsyCourse-fold9
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+
This model is a fine-tuned version of [klyang/MentaLLaMA-chat-7B-hf](https://huggingface.co/klyang/MentaLLaMA-chat-7B-hf) on the course-train-fold9 dataset.
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It achieves the following results on the evaluation set:
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+
- Loss: 0.0305
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## Model description
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all_results.json
ADDED
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{
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"epoch": 4.997121473805412,
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"eval_loss": 0.030531086027622223,
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+
"eval_runtime": 195.6611,
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+
"eval_samples_per_second": 5.924,
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"eval_steps_per_second": 5.924,
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"total_flos": 8.80470547326763e+17,
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"train_loss": 0.04897872828713943,
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"train_runtime": 41700.3864,
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"train_samples_per_second": 1.25,
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"train_steps_per_second": 0.078
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}
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eval_results.json
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+
{
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"epoch": 4.997121473805412,
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"eval_loss": 0.030531086027622223,
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+
"eval_runtime": 195.6611,
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"eval_samples_per_second": 5.924,
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"eval_steps_per_second": 5.924
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}
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train_results.json
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{
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"epoch": 4.997121473805412,
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"total_flos": 8.80470547326763e+17,
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"train_loss": 0.04897872828713943,
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+
"train_runtime": 41700.3864,
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"train_samples_per_second": 1.25,
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"train_steps_per_second": 0.078
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}
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trainer_state.json
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training_loss.png
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