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 +792 -0
- training_eval_loss.png +0 -0
- training_loss.png +0 -0
README.md
CHANGED
@@ -4,6 +4,7 @@ license: llama3.2
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base_model: meta-llama/Llama-3.2-3B-Instruct
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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: qlora-llama3b-iterative
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@@ -15,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
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# qlora-llama3b-iterative
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-
This model is a fine-tuned version of [meta-llama/Llama-3.2-3B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct) on
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It achieves the following results on the evaluation set:
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- Loss: 0.0051
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base_model: meta-llama/Llama-3.2-3B-Instruct
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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: qlora-llama3b-iterative
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# qlora-llama3b-iterative
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+
This model is a fine-tuned version of [meta-llama/Llama-3.2-3B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct) on the train-iterative dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0051
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all_results.json
ADDED
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+
{
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"epoch": 4.444444444444445,
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+
"eval_loss": 0.005105508491396904,
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+
"eval_runtime": 8.0865,
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+
"eval_samples_per_second": 12.366,
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+
"eval_steps_per_second": 12.366,
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+
"total_flos": 1.038706354200576e+16,
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"train_loss": 0.1301481350355316,
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"train_runtime": 1611.4177,
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+
"train_samples_per_second": 2.482,
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"train_steps_per_second": 0.31
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+
}
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eval_results.json
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@@ -0,0 +1,7 @@
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+
{
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"epoch": 4.444444444444445,
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+
"eval_loss": 0.005105508491396904,
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"eval_runtime": 8.0865,
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"eval_samples_per_second": 12.366,
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+
"eval_steps_per_second": 12.366
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+
}
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train_results.json
ADDED
@@ -0,0 +1,8 @@
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+
{
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"epoch": 4.444444444444445,
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"total_flos": 1.038706354200576e+16,
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"train_loss": 0.1301481350355316,
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"train_runtime": 1611.4177,
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"train_samples_per_second": 2.482,
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"train_steps_per_second": 0.31
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}
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trainer_state.json
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