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--- |
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base_model: jetmoe/jetmoe-8b-sft |
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tags: |
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- alignment-handbook |
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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: jetmoe-8b-chat |
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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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# jetmoe-8b-chat |
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This model is a fine-tuned version of [jetmoe-8b-sft](https://huggingface.co/jetmoe/jetmoe-8b-sft) on the HuggingFaceH4/ultrafeedback_binarized dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6372 |
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- Rewards/chosen: -0.0901 |
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- Rewards/rejected: -0.2250 |
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- Rewards/accuracies: 0.7148 |
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- Rewards/margins: 0.1349 |
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- Logps/rejected: -289.3396 |
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- Logps/chosen: -286.2378 |
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- Logits/rejected: -2.9020 |
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- Logits/chosen: -2.9443 |
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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: 5e-07 |
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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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- distributed_type: multi-GPU |
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- num_devices: 8 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 128 |
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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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| 0.6664 | 0.42 | 200 | 0.6622 | -0.0185 | -0.0869 | 0.6997 | 0.0684 | -275.5274 | -279.0778 | -2.9127 | -2.9572 | |
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| 0.6428 | 0.84 | 400 | 0.6372 | -0.0901 | -0.2250 | 0.7148 | 0.1349 | -289.3396 | -286.2378 | -2.9020 | -2.9443 | |
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### Framework versions |
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- Transformers 4.39.0.dev0 |
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- Pytorch 2.1.2 |
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- Datasets 2.14.6 |
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- Tokenizers 0.15.2 |
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