Cold-Rec-LLama-2-7B
This model is a fine-tuned version of ahxt/llama1_s_1.8B_experimental on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0777
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: 16
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.2217 | 1.992 | 249 | 0.2119 |
| 0.1599 | 3.984 | 498 | 0.1558 |
| 0.1177 | 5.976 | 747 | 0.1157 |
| 0.0842 | 7.968 | 996 | 0.0875 |
| 0.075 | 9.96 | 1245 | 0.0776 |
Framework versions
- PEFT 0.12.0
- Transformers 4.43.3
- Pytorch 2.3.1+cu121
- Datasets 2.17.0
- Tokenizers 0.19.1
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Model tree for bilkultheek/Cold-Rec-LLama-2-7B
Base model
ahxt/llama1_s_1.8B_experimental