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---
license: other
base_model: baffo32/decapoda-research-llama-7B-hf
tags:
- generated_from_trainer
model-index:
- name: llama-7b-absa-restaurants
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-7b-absa-restaurants
This model is a fine-tuned version of [baffo32/decapoda-research-llama-7B-hf](https://huggingface.co/baffo32/decapoda-research-llama-7B-hf) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0455
## 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: 0.0003
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- training_steps: 600
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.1265 | 0.36 | 40 | 0.0377 |
| 0.0356 | 0.72 | 80 | 0.0319 |
| 0.0292 | 1.08 | 120 | 0.0276 |
| 0.0199 | 1.44 | 160 | 0.0264 |
| 0.0211 | 1.8 | 200 | 0.0277 |
| 0.0162 | 2.16 | 240 | 0.0306 |
| 0.012 | 2.52 | 280 | 0.0280 |
| 0.0121 | 2.88 | 320 | 0.0301 |
| 0.0075 | 3.24 | 360 | 0.0370 |
| 0.0052 | 3.6 | 400 | 0.0379 |
| 0.0058 | 3.96 | 440 | 0.0336 |
| 0.0026 | 4.32 | 480 | 0.0484 |
| 0.0016 | 4.68 | 520 | 0.0455 |
| 0.0021 | 5.05 | 560 | 0.0439 |
| 0.0008 | 5.41 | 600 | 0.0455 |
### Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
|