---
license: mit
base_model: infgrad/stella-base-en-v2
tags:
- generated_from_trainer
model-index:
- name: stella-base-en-v2-finetuned-colet
  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. -->

# stella-base-en-v2-finetuned-colet

This model is a fine-tuned version of [infgrad/stella-base-en-v2](https://huggingface.co/infgrad/stella-base-en-v2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 7.3027

## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 8.5596        | 1.0   | 32   | 7.5865          |
| 7.4649        | 2.0   | 64   | 7.3027          |
| 7.3587        | 3.0   | 96   | 7.3353          |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0
- Datasets 2.14.6
- Tokenizers 0.14.1