metadata
license: llama2
base_model: meta-llama/Llama-2-7b-chat-hf
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: AmsterdamDocClassificationLlama200T2Epochs
results: []
AmsterdamDocClassificationLlama200T2Epochs
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:
- Loss: 0.8173
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: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.0345 | 0.1988 | 123 | 0.9800 |
| 0.8537 | 0.3976 | 246 | 0.8808 |
| 0.5807 | 0.5964 | 369 | 0.8503 |
| 0.7419 | 0.7952 | 492 | 0.8413 |
| 0.9967 | 0.9939 | 615 | 0.8406 |
| 0.7252 | 1.1939 | 738 | 0.8301 |
| 0.9605 | 1.3927 | 861 | 0.8214 |
| 0.7785 | 1.5915 | 984 | 0.8186 |
| 0.7233 | 1.7903 | 1107 | 0.8178 |
| 0.8389 | 1.9891 | 1230 | 0.8173 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1