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chat_700STEPS_1e4rate_01beta_DPO
tsavage68/chat_700STEPS_1e4rate_01beta_DPO
chat_700STEPS_1e4rate_01beta_DPO is a text generation model from tsavage68. Use it when you need the model to write or continue text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Generation
- Library
- transformers
- Model type
- llama
- Access
- Public
- Created
- Feb 13, 2024
- Updated
- Feb 13, 2024
- SHA
- c50a173a
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Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
chat_700STEPS_1e4rate
This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.1848
- Rewards/chosen: -4.4236
- Rewards/rejected: -4.3538
- Rewards/accuracies: 0.4000
- Rewards/margins: -0.0698
- Logps/rejected: -62.3289
- Logps/chosen: -60.9807
- Logits/rejected: -4.5000
- Logits/chosen: -4.5000
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0001
- train_batch_size: 4
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- training_steps: 700
Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1.2329 | 0.1 | 50 | 1.6243 | -8.0715 | -8.0351 | 0.4176 | -0.0364 | -99.1426 | -97.4598 | -0.6161 | -0.6164 |
| 1.3399 | 0.2 | 100 | 1.2323 | -4.6270 | -4.6104 | 0.3978 | -0.0167 | -64.8951 | -63.0151 | -2.3014 | -2.3014 |
| 1.316 | 0.29 | 150 | 1.2017 | -4.3807 | -4.3323 | 0.4000 | -0.0484 | -62.1140 | -60.5517 | -2.9891 | -2.9891 |
| 1.2778 | 0.39 | 200 | 1.1891 | -4.3216 | -4.2623 | 0.4044 | -0.0593 | -61.4138 | -59.9605 | -3.4116 | -3.4116 |
| 1.0721 | 0.49 | 250 | 1.1847 | -4.3234 | -4.2565 | 0.4110 | -0.0669 | -61.3561 | -59.9788 | -3.7977 | -3.7977 |
| 1.3775 | 0.59 | 300 | 1.1896 | -4.3481 | -4.2745 | 0.4176 | -0.0737 | -61.5360 | -60.2260 | -4.0911 | -4.0911 |
| 1.3232 | 0.68 | 350 | 1.1818 | -4.3486 | -4.2846 | 0.4088 | -0.0640 | -61.6375 | -60.2310 | -4.2490 | -4.2490 |
| 1.2476 | 0.78 | 400 | 1.1789 | -4.3705 | -4.3105 | 0.4044 | -0.0600 | -61.8961 | -60.4495 | -4.1920 | -4.1920 |
| 1.3082 | 0.88 | 450 | 1.1766 | -4.3831 | -4.3296 | 0.4000 | -0.0535 | -62.0870 | -60.5753 | -4.2348 | -4.2348 |
| 1.1007 | 0.98 | 500 | 1.1762 | -4.4022 | -4.3470 | 0.4000 | -0.0552 | -62.2610 | -60.7662 | -4.2010 | -4.2010 |
| 0.8786 | 1.07 | 550 | 1.1811 | -4.4150 | -4.3527 | 0.4000 | -0.0623 | -62.3185 | -60.8948 | -4.3351 | -4.3351 |
| 1.3113 | 1.17 | 600 | 1.1842 | -4.4174 | -4.3487 | 0.4000 | -0.0687 | -62.2785 | -60.9186 | -4.4858 | -4.4858 |
| 0.9783 | 1.27 | 650 | 1.1850 | -4.4234 | -4.3533 | 0.4000 | -0.0701 | -62.3242 | -60.9783 | -4.4997 | -4.4997 |
| 1.3696 | 1.37 | 700 | 1.1848 | -4.4236 | -4.3538 | 0.4000 | -0.0698 | -62.3289 | -60.9807 | -4.5000 | -4.5000 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.0.0+cu117
- Datasets 2.17.0
- Tokenizers 0.15.2
- Task
- Text Generation
- Library
- transformers
- Type
- llama
- Created
- Feb 13, 2024
- Updated
- Feb 13, 2024