End of training
Browse files- README.md +3 -2
- all_results.json +20 -0
- eval_results.json +15 -0
- train_results.json +8 -0
- trainer_state.json +239 -0
- training_eval_loss.png +0 -0
- training_loss.png +0 -0
- training_rewards_chosen.png +0 -0
README.md
CHANGED
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@@ -3,9 +3,10 @@ library_name: peft
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license: llama3.1
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base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
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tags:
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- trl
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- kto
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-
- llama-factory
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- generated_from_trainer
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model-index:
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- name: Llama-3.1-8B-Instruct-KTO-100
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@@ -17,7 +18,7 @@ should probably proofread and complete it, then remove this comment. -->
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# Llama-3.1-8B-Instruct-KTO-100
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-
This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct) on
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It achieves the following results on the evaluation set:
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- Loss: 0.4997
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- Rewards/chosen: 0.0050
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license: llama3.1
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base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
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tags:
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+
- llama-factory
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+
- lora
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- trl
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- kto
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- generated_from_trainer
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model-index:
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- name: Llama-3.1-8B-Instruct-KTO-100
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# Llama-3.1-8B-Instruct-KTO-100
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+
This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct) on the bct_non_cot_kto_100 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4997
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- Rewards/chosen: 0.0050
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all_results.json
ADDED
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{
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"epoch": 9.777777777777779,
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"eval_logits/chosen": -5053702.857142857,
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"eval_logits/rejected": -7957526.666666667,
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"eval_logps/chosen": -17.07437242780413,
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"eval_logps/rejected": -23.829910278320312,
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"eval_loss": 0.4997052252292633,
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"eval_rewards/chosen": 0.005012544138090951,
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"eval_rewards/margins": -0.0027697735599109107,
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"eval_rewards/rejected": 0.007782317698001862,
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"eval_runtime": 3.8441,
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"eval_samples_per_second": 5.203,
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"eval_steps_per_second": 2.601,
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"kl": 0.0,
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"total_flos": 1.0124196800495616e+16,
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"train_loss": 0.4910273031754927,
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"train_runtime": 636.4533,
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"train_samples_per_second": 2.828,
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"train_steps_per_second": 0.173
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}
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eval_results.json
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{
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"epoch": 9.777777777777779,
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"eval_logits/chosen": -5053702.857142857,
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"eval_logits/rejected": -7957526.666666667,
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"eval_logps/chosen": -17.07437242780413,
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"eval_logps/rejected": -23.829910278320312,
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"eval_loss": 0.4997052252292633,
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"eval_rewards/chosen": 0.005012544138090951,
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"eval_rewards/margins": -0.0027697735599109107,
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"eval_rewards/rejected": 0.007782317698001862,
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"eval_runtime": 3.8441,
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"eval_samples_per_second": 5.203,
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"eval_steps_per_second": 2.601,
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"kl": 0.0
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}
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train_results.json
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{
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"epoch": 9.777777777777779,
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"total_flos": 1.0124196800495616e+16,
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"train_loss": 0.4910273031754927,
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"train_runtime": 636.4533,
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| 6 |
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"train_samples_per_second": 2.828,
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"train_steps_per_second": 0.173
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}
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trainer_state.json
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@@ -0,0 +1,239 @@
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| 1 |
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{
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training_eval_loss.png
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training_loss.png
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training_rewards_chosen.png
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