|
--- |
|
library_name: peft |
|
license: llama3.2 |
|
base_model: meta-llama/Llama-3.2-1B-Instruct |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- accuracy |
|
- f1 |
|
model-index: |
|
- name: llama-1b-irony |
|
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-1b-irony |
|
|
|
This model is a fine-tuned version of [meta-llama/Llama-3.2-1B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.6571 |
|
- Accuracy: 0.6658 |
|
- F1: 0.5112 |
|
|
|
## 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: 0.0002 |
|
- train_batch_size: 32 |
|
- eval_batch_size: 32 |
|
- seed: 42 |
|
- gradient_accumulation_steps: 4 |
|
- total_train_batch_size: 128 |
|
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
|
- lr_scheduler_type: linear |
|
- lr_scheduler_warmup_steps: 100 |
|
- num_epochs: 10 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| |
|
| No log | 1.0 | 30 | 0.8135 | 0.6441 | 0.5114 | |
|
| No log | 2.0 | 60 | 0.7566 | 0.6122 | 0.5529 | |
|
| No log | 3.0 | 90 | 0.7246 | 0.6301 | 0.5338 | |
|
| No log | 4.0 | 120 | 0.6850 | 0.6467 | 0.5249 | |
|
| No log | 5.0 | 150 | 0.6739 | 0.6722 | 0.5353 | |
|
| No log | 6.0 | 180 | 0.6852 | 0.6556 | 0.4706 | |
|
| No log | 7.0 | 210 | 0.6446 | 0.6862 | 0.5669 | |
|
| No log | 8.0 | 240 | 0.6489 | 0.6747 | 0.5487 | |
|
| No log | 9.0 | 270 | 0.6449 | 0.6747 | 0.5422 | |
|
| No log | 10.0 | 300 | 0.6571 | 0.6658 | 0.5112 | |
|
|
|
|
|
### Framework versions |
|
|
|
- PEFT 0.14.0 |
|
- Transformers 4.47.1 |
|
- Pytorch 2.5.1+cu124 |
|
- Datasets 3.2.0 |
|
- Tokenizers 0.21.0 |
