experiments
This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on the dialogstudio dataset. It achieves the following results on the evaluation set:
- Loss: 1.8522
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: 0.0001
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.9036 | 0.4 | 22 | 1.9222 |
| 1.8237 | 0.8 | 44 | 1.8800 |
| 1.6753 | 1.2 | 66 | 1.8615 |
| 1.7803 | 1.6 | 88 | 1.8537 |
| 1.646 | 2.0 | 110 | 1.8522 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3
Model tree for smrynrz20/experiments
Base model
meta-llama/Llama-2-7b-hf