4932cbf7-d190-477e-9b00-ee777751228c
This model is a fine-tuned version of jhflow/mistral7b-lora-multi-turn-v2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7193
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: 0.000212
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: constant
- lr_scheduler_warmup_steps: 50
- training_steps: 400
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.0009 | 1 | 0.7709 |
| 2.183 | 0.0457 | 50 | 0.5328 |
| 1.9342 | 0.0915 | 100 | 0.5885 |
| 1.9848 | 0.1372 | 150 | 0.6782 |
| 1.9902 | 0.1829 | 200 | 0.7193 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1
- Downloads last month
- 10
Inference Providers
NEW
This model is not currently available via any of the supported Inference Providers.
The model cannot be deployed to the HF Inference API:
The model has no pipeline_tag.
Model tree for lesso/4932cbf7-d190-477e-9b00-ee777751228c
Base model
jhflow/mistral7b-lora-multi-turn-v2