Mental-Yi-7B-V2
This model is a fine-tuned version of 01-ai/Yi-6B-Chat on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.9559
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: 0.001
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.2248 | 1.48 | 500 | 2.9363 |
| 2.7215 | 2.96 | 1000 | 2.8738 |
| 2.4815 | 4.44 | 1500 | 2.9559 |
Framework versions
- PEFT 0.10.0
- Transformers 4.39.1
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.1
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Model tree for Aditya149/Mental-Yi-7B-V2
Base model
01-ai/Yi-6B-Chat