metadata
library_name: transformers
license: llama3.2
base_model: meta-llama/Llama-3.2-1B
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: llama3.2-1b-rumour-samples
results: []
llama3.2-1b-rumour-samples
This model is a fine-tuned version of meta-llama/Llama-3.2-1B on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.0669
- Accuracy: 0.5449
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: 2.5e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 7788
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Use adamw_hf with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.2
- num_epochs: 8
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.7912 | 0.9967 | 149 | 2.3079 | 0.3846 |
| 1.7606 | 1.9967 | 298 | 2.5560 | 0.4968 |
| 1.2727 | 2.9967 | 447 | 1.7913 | 0.5689 |
| 0.8097 | 3.9967 | 596 | 2.2204 | 0.5401 |
| 0.5357 | 4.9967 | 745 | 2.0648 | 0.5737 |
| 0.3045 | 5.9967 | 894 | 1.9878 | 0.5721 |
| 0.2275 | 6.9967 | 1043 | 2.1418 | 0.5401 |
| 0.1082 | 7.9967 | 1192 | 2.0669 | 0.5449 |
Framework versions
- Transformers 4.47.0.dev0
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3