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--- |
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license: apache-2.0 |
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library_name: peft |
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tags: |
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- generated_from_trainer |
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base_model: ahmedabdelwahed/Mojiz-sft |
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model-index: |
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- name: test |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# test |
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This model is a fine-tuned version of [ahmedabdelwahed/Mojiz-sft](https://huggingface.co/ahmedabdelwahed/Mojiz-sft) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1612 |
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- Rewards/chosen: 1.5401 |
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- Rewards/rejected: -0.4134 |
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- Rewards/accuracies: 1.0 |
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- Rewards/margins: 1.9534 |
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- Logps/rejected: -71.8662 |
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- Logps/chosen: -323.2329 |
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- Logits/rejected: -11.6886 |
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- Logits/chosen: -12.9104 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 1e-06 |
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- train_batch_size: 4 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 150 |
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- training_steps: 1000 |
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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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| 1.3422 | 0.41 | 100 | 0.6447 | 0.0816 | -0.0178 | 1.0 | 0.0994 | -71.0751 | -326.1499 | -11.7285 | -12.9749 | |
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| 1.9054 | 0.82 | 200 | 0.5151 | 0.3250 | -0.0755 | 1.0 | 0.4005 | -71.1904 | -325.6630 | -11.7221 | -12.9647 | |
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| 1.7913 | 1.22 | 300 | 0.4000 | 0.5897 | -0.1444 | 1.0 | 0.7341 | -71.3283 | -325.1337 | -11.7152 | -12.9536 | |
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| 1.6915 | 1.63 | 400 | 0.3189 | 0.8238 | -0.2053 | 1.0 | 1.0290 | -71.4500 | -324.6655 | -11.7087 | -12.9431 | |
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| 1.4041 | 2.04 | 500 | 0.2596 | 1.0374 | -0.2638 | 1.0 | 1.3012 | -71.5670 | -324.2383 | -11.7029 | -12.9335 | |
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| 1.1989 | 2.45 | 600 | 0.2187 | 1.2160 | -0.3160 | 1.0 | 1.5320 | -71.6715 | -323.8811 | -11.6980 | -12.9256 | |
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| 1.2192 | 2.86 | 700 | 0.1915 | 1.3556 | -0.3570 | 1.0 | 1.7126 | -71.7533 | -323.6018 | -11.6939 | -12.9188 | |
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| 1.1718 | 3.27 | 800 | 0.1738 | 1.4588 | -0.3884 | 1.0 | 1.8472 | -71.8162 | -323.3954 | -11.6909 | -12.9141 | |
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| 0.9623 | 3.67 | 900 | 0.1643 | 1.5190 | -0.4068 | 1.0 | 1.9258 | -71.8531 | -323.2751 | -11.6892 | -12.9113 | |
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| 1.0207 | 4.08 | 1000 | 0.1612 | 1.5401 | -0.4134 | 1.0 | 1.9534 | -71.8662 | -323.2329 | -11.6886 | -12.9104 | |
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### Framework versions |
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- PEFT 0.7.1 |
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- Transformers 4.36.0 |
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- Pytorch 2.0.0 |
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- Datasets 2.1.0 |
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- Tokenizers 0.15.0 |
