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Llama-2-7b-hf-eval_threapist-ORPO-filtered-0.2-version-1
LBK95/Llama-2-7b-hf-eval_threapist-ORPO-filtered-0.2-version-1
Llama-2-7b-hf-eval_threapist-ORPO-filtered-0.2-version-1 is a machine learning model from LBK95. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as llama2.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- llama2
- Access
- Public
- Created
- May 8, 2024
- Updated
- May 8, 2024
- SHA
- d6263d68
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. -->
Llama-2-7b-hf-eval_threapist-ORPO-filtered-0.2-version-1
This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5471
- Rewards/chosen: -0.1206
- Rewards/rejected: -0.1280
- Rewards/accuracies: 0.6500
- Rewards/margins: 0.0074
- Logps/rejected: -1.2803
- Logps/chosen: -1.2064
- Logits/rejected: -1.4351
- Logits/chosen: -1.4353
- Nll Loss: 0.4721
- Log Odds Ratio: -0.7502
- Log Odds Chosen: 0.0744
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: 8e-06
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | Nll Loss | Log Odds Ratio | Log Odds Chosen |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.8049 | 0.6 | 141 | 0.8303 | -0.2121 | -0.2243 | 0.6500 | 0.0122 | -2.2432 | -2.1211 | -0.7703 | -0.7698 | 0.7515 | -0.7874 | 0.1083 |
| 0.5299 | 1.2 | 282 | 0.5796 | -0.1515 | -0.1597 | 0.6500 | 0.0081 | -1.5968 | -1.5153 | -1.2952 | -1.2957 | 0.5038 | -0.7583 | 0.0737 |
| 0.595 | 1.8 | 423 | 0.5535 | -0.1227 | -0.1296 | 0.6500 | 0.0070 | -1.2962 | -1.2265 | -1.4015 | -1.4015 | 0.4782 | -0.7532 | 0.0683 |
| 0.6024 | 2.4 | 564 | 0.5476 | -0.1216 | -0.1293 | 0.6500 | 0.0077 | -1.2929 | -1.2164 | -1.4239 | -1.4238 | 0.4727 | -0.7491 | 0.0768 |
| 0.59 | 3.0 | 705 | 0.5471 | -0.1206 | -0.1280 | 0.6500 | 0.0074 | -1.2803 | -1.2064 | -1.4351 | -1.4353 | 0.4721 | -0.7502 | 0.0744 |
Framework versions
- PEFT 0.10.0
- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
- Library
- peft
- License
- llama2
- Created
- May 8, 2024
- Updated
- May 8, 2024