tinyllama-1.1b-chat-v1.0-ui-math-coding-dpo-2
This model is a fine-tuned version of TinyLlama/TinyLlama-1.1B-Chat-v1.0 on the data/ui_math and the data/ui_coding datasets. It achieves the following results on the evaluation set:
- Loss: 0.3362
- Rewards/chosen: -3.2340
- Rewards/rejected: -7.1489
- Rewards/accuracies: 0.875
- Rewards/margins: 3.9149
- Logps/rejected: -1058.2659
- Logps/chosen: -682.5323
- Logits/rejected: -1.3117
- Logits/chosen: -1.3352
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: 5e-07
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 4
- total_train_batch_size: 256
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 2
Training results
Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
---|---|---|---|---|---|---|---|---|---|---|---|
0.2293 | 1.2210 | 1000 | 0.3224 | -3.3080 | -7.0491 | 0.9062 | 3.7411 | -1048.2871 | -689.9403 | -1.4398 | -1.4575 |
Framework versions
- Transformers 4.44.1
- Pytorch 2.1.2+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
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Model tree for NicholasCorrado/tinyllama-1.1b-chat-v1.0-ui-math-coding-dpo-2
Base model
TinyLlama/TinyLlama-1.1B-Chat-v1.0