metadata
license: mit
base_model: avsolatorio/GIST-small-Embedding-v0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: GIST-small-Embedding-v0-finetuned
results: []
GIST-small-Embedding-v0-finetuned
This model is a fine-tuned version of avsolatorio/GIST-small-Embedding-v0 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5441
- Accuracy: 0.75
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 23 | 0.5764 | 0.675 |
| No log | 2.0 | 46 | 0.5598 | 0.7 |
| No log | 3.0 | 69 | 0.5441 | 0.75 |
| No log | 4.0 | 92 | 0.5355 | 0.75 |
| No log | 5.0 | 115 | 0.5432 | 0.75 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1