Model save
Browse files- README.md +10 -9
- all_results.json +3 -3
- config.json +1 -1
- model-00001-of-00003.safetensors +1 -1
- model-00002-of-00003.safetensors +1 -1
- model-00003-of-00003.safetensors +1 -1
- runs/May31_01-11-22_n136-129-074/events.out.tfevents.1717089214.n136-129-074.2749411.0 +2 -2
- tokenizer.json +0 -1
- train_results.json +3 -3
- trainer_state.json +412 -412
- training_args.bin +2 -2
README.md
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@@ -16,14 +16,14 @@ should probably proofread and complete it, then remove this comment. -->
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This model was trained from scratch on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6931
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- Rewards/chosen: -1.
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- Rewards/rejected: -1.
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- Rewards/accuracies: 0.0
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- Rewards/margins: 0.0
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- Logps/rejected: -
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- Logps/chosen: -
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- Logits/rejected: -3.
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- Logits/chosen: -3.
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## Model description
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- total_eval_batch_size: 64
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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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- num_epochs: 1
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### Training results
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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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### Framework versions
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This model was trained from scratch on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6931
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- Rewards/chosen: -1.9201
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- Rewards/rejected: -1.9201
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- Rewards/accuracies: 0.0
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- Rewards/margins: 0.0
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- Logps/rejected: -159.4172
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- Logps/chosen: -159.4172
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- Logits/rejected: -3.2283
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- Logits/chosen: -3.2283
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## Model description
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- total_eval_batch_size: 64
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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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- num_epochs: 1
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### Training results
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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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| 0.3536 | 0.29 | 100 | 0.6931 | -1.3869 | -1.3869 | 0.0 | 0.0 | -158.3509 | -158.3509 | -3.2370 | -3.2370 |
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| 0.3091 | 0.57 | 200 | 0.6931 | -1.8814 | -1.8814 | 0.0 | 0.0 | -159.3398 | -159.3398 | -3.2304 | -3.2304 |
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| 0.3363 | 0.86 | 300 | 0.6931 | -1.9201 | -1.9201 | 0.0 | 0.0 | -159.4172 | -159.4172 | -3.2283 | -3.2283 |
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### Framework versions
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all_results.json
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config.json
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"torch_dtype": "bfloat16",
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model-00001-of-00003.safetensors
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