mohsenfayyaz/Llama-2-7b-chat-hf_medical_bios_5000_Lora_lr1e-5_5ep
This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 2.3942
- eval_runtime: 4.0157
- eval_samples_per_second: 49.805
- eval_steps_per_second: 6.226
- epoch: 4.992
- step: 390
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: 1e-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 0
- gradient_accumulation_steps: 32
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Framework versions
- PEFT 0.9.0
- Transformers 4.40.0
- Pytorch 2.2.1+cu121
- Datasets 2.17.1
- Tokenizers 0.19.1
- Downloads last month
- 94
Unable to determine this model’s pipeline type. Check the
docs
.