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---
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: meta-llama/Llama-2-7b-chat-hf
model-index:
- name: llama-2-7b-chat-hf-phr_mental_therapy-3
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# llama-2-7b-chat-hf-phr_mental_therapy-3
This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7325
## 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: 2e-05
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 1
- max_seq_length:1024
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.7789 | 0.04 | 1000 | 0.8159 |
| 0.7738 | 0.09 | 2000 | 0.7736 |
| 0.731 | 0.13 | 3000 | 0.7585 |
| 0.7048 | 0.18 | 4000 | 0.7496 |
| 0.7268 | 0.22 | 5000 | 0.7435 |
| 0.7186 | 0.27 | 6000 | 0.7398 |
| 0.7021 | 0.31 | 7000 | 0.7370 |
| 0.7093 | 0.36 | 8000 | 0.7355 |
| 0.7099 | 0.4 | 9000 | 0.7342 |
| 0.7278 | 0.45 | 10000 | 0.7334 |
| 0.7264 | 0.49 | 11000 | 0.7328 |
| 0.6773 | 0.54 | 12000 | 0.7325 |
### Framework versions
- PEFT 0.9.0
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.0 |