---
base_model: eleutherai/pythia-14m
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: goal-encoder-exp
  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. -->

# goal-encoder-exp

This model is a fine-tuned version of [eleutherai/pythia-14m](https://huggingface.co/eleutherai/pythia-14m) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2389
- Accuracy: 0.9

## 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: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 10.7829       | 0.2   | 12   | 2.1746          | 0.26     |
| 2.282         | 0.4   | 24   | 1.4918          | 0.44     |
| 1.4675        | 0.6   | 36   | 1.2938          | 0.4      |
| 1.1909        | 0.8   | 48   | 1.1243          | 0.52     |
| 0.9884        | 1.0   | 60   | 0.9595          | 0.62     |
| 0.8292        | 1.2   | 72   | 0.7748          | 0.68     |
| 0.5574        | 1.4   | 84   | 0.4913          | 0.84     |
| 0.3673        | 1.6   | 96   | 0.3591          | 0.88     |
| 0.2768        | 1.8   | 108  | 0.2822          | 0.92     |
| 0.1779        | 2.0   | 120  | 0.2389          | 0.9      |


### Framework versions

- Transformers 4.41.1
- Pytorch 2.0.0+cu117
- Datasets 2.19.1
- Tokenizers 0.19.1