---
license: apache-2.0
base_model: sentence-transformers/all-distilroberta-v1
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: all-distilroberta-finetuned-on-agent
  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. -->

# all-distilroberta-finetuned-on-agent

This model is a fine-tuned version of [sentence-transformers/all-distilroberta-v1](https://huggingface.co/sentence-transformers/all-distilroberta-v1) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0505
- Accuracy: 1.0
- F1: 1.0

## 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: 6
- eval_batch_size: 6
- seed: 42
- distributed_type: tpu
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 4.8137        | 1.0   | 30   | 4.2195          | 0.5      | 0.4046 |
| 3.8117        | 2.0   | 60   | 3.3029          | 0.7667   | 0.7270 |
| 3.0598        | 3.0   | 90   | 2.6420          | 0.8333   | 0.8137 |
| 2.4888        | 4.0   | 120  | 2.1405          | 0.8667   | 0.8470 |
| 2.0583        | 5.0   | 150  | 1.7464          | 0.9      | 0.8825 |
| 1.6867        | 6.0   | 180  | 1.4774          | 0.9667   | 0.9644 |
| 1.4817        | 7.0   | 210  | 1.2812          | 0.9667   | 0.9644 |
| 1.2876        | 8.0   | 240  | 1.1481          | 1.0      | 1.0    |
| 1.1833        | 9.0   | 270  | 1.0764          | 1.0      | 1.0    |
| 1.1549        | 10.0  | 300  | 1.0505          | 1.0      | 1.0    |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2