metadata
base_model: EleutherAI/pythia-14m
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: pythia-14m-imdb-sentiment-20240729_031828
results: []
pythia-14m-imdb-sentiment-20240729_031828
This model is a fine-tuned version of EleutherAI/pythia-14m on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2606
- Accuracy: 0.891
- F1: 0.8925
- Precision: 0.8805
- Recall: 0.9048
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: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.3715 | 1.0 | 782 | 0.3372 | 0.8540 | 0.8638 | 0.8095 | 0.926 |
| 0.234 | 2.0 | 1564 | 0.2606 | 0.891 | 0.8925 | 0.8805 | 0.9048 |
| 0.1667 | 3.0 | 2346 | 0.2820 | 0.8955 | 0.8951 | 0.8988 | 0.8914 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1