metadata
license: other
base_model: baffo32/decapoda-research-llama-7B-hf
tags:
- generated_from_trainer
model-index:
- name: llama-7b-absa-MT-restaurants
results: []
llama-7b-absa-MT-restaurants
This model is a fine-tuned version of baffo32/decapoda-research-llama-7B-hf on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0061
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 |
---|---|---|---|
0.0939 | 0.13 | 40 | 0.0302 |
0.0258 | 0.25 | 80 | 0.0237 |
0.0223 | 0.38 | 120 | 0.0208 |
0.0198 | 0.51 | 160 | 0.0182 |
0.0159 | 0.63 | 200 | 0.0163 |
0.0158 | 0.76 | 240 | 0.0137 |
0.0125 | 0.89 | 280 | 0.0126 |
0.0118 | 1.01 | 320 | 0.0111 |
0.0078 | 1.14 | 360 | 0.0098 |
0.0059 | 1.27 | 400 | 0.0095 |
0.006 | 1.39 | 440 | 0.0091 |
0.0052 | 1.52 | 480 | 0.0078 |
0.0059 | 1.65 | 520 | 0.0068 |
0.0045 | 1.77 | 560 | 0.0066 |
0.0044 | 1.9 | 600 | 0.0061 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2