Model save
Browse files- README.md +16 -25
- all_results.json +6 -19
- generation_config.json +1 -1
- model-00001-of-00004.safetensors +1 -1
- model-00002-of-00004.safetensors +1 -1
- model-00003-of-00004.safetensors +1 -1
- model-00004-of-00004.safetensors +1 -1
- runs/Oct08_11-25-31_a2ap-dgx018/events.out.tfevents.1728358134.a2ap-dgx018.1893204.0 +2 -2
- train_results.json +6 -6
- trainer_state.json +173 -746
README.md
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---
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library_name: transformers
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license: llama3
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base_model: meta-llama/Meta-Llama-3
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tags:
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- alignment-handbook
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- trl
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- dpo
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- generated_from_trainer
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- trl
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- dpo
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- generated_from_trainer
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datasets:
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- HuggingFaceH4/ultrafeedback_binarized
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model-index:
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- name: llama-3-8b-dpo-full
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results: []
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# llama-3-8b-dpo-full
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Rewards/chosen: -
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- Rewards/rejected: -
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- Rewards/accuracies: 0.
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- Rewards/margins: 0.
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- Logps/rejected: -
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- Logps/chosen: -
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- Logits/rejected: -
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- Logits/chosen: -
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## Model description
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- eval_batch_size: 4
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices:
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- gradient_accumulation_steps: 8
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- total_train_batch_size:
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- total_eval_batch_size:
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.1
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| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
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|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
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| 0.
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| 0.5887 | 0.4187 | 200 | 0.5796 | -1.0505 | -1.5993 | 0.7143 | 0.5488 | -555.6263 | -509.5346 | -2.6508 | -2.4854 |
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| 0.5667 | 0.6281 | 300 | 0.5653 | -1.0427 | -1.6191 | 0.7222 | 0.5764 | -557.6055 | -508.7539 | -2.6684 | -2.5120 |
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| 0.5803 | 0.8375 | 400 | 0.5582 | -1.3603 | -2.0529 | 0.7262 | 0.6926 | -600.9839 | -540.5128 | -2.7438 | -2.5853 |
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### Framework versions
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---
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library_name: transformers
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license: llama3
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base_model: meta-llama/Meta-Llama-3-8B-Instruct
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tags:
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- trl
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- dpo
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- generated_from_trainer
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model-index:
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- name: llama-3-8b-dpo-full
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results: []
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# llama-3-8b-dpo-full
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6494
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- Rewards/chosen: -0.1752
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- Rewards/rejected: -0.2195
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- Rewards/accuracies: 0.5625
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- Rewards/margins: 0.0443
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- Logps/rejected: -418.5782
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- Logps/chosen: -335.3811
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- Logits/rejected: -1.1582
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- Logits/chosen: -1.0463
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## Model description
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- eval_batch_size: 4
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 32
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 512
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- total_eval_batch_size: 128
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.1
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| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
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|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
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| 0.6411 | 0.8239 | 100 | 0.6494 | -0.1752 | -0.2195 | 0.5625 | 0.0443 | -418.5782 | -335.3811 | -1.1582 | -1.0463 |
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### Framework versions
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all_results.json
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generation_config.json
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|
231 |
],
|
232 |
"logging_steps": 10,
|
233 |
+
"max_steps": 121,
|
234 |
"num_input_tokens_seen": 0,
|
235 |
"num_train_epochs": 1,
|
236 |
"save_steps": 100,
|