---
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: 1.0841
- Accuracy: 0.9333
- F1: 0.9289

## 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     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 5.0075        | 1.0   | 30   | 4.3968          | 0.5      | 0.44   |
| 3.9817        | 2.0   | 60   | 3.4466          | 0.8333   | 0.8114 |
| 3.248         | 3.0   | 90   | 2.7491          | 0.8667   | 0.8470 |
| 2.6848        | 4.0   | 120  | 2.2106          | 0.8667   | 0.8470 |
| 2.2175        | 5.0   | 150  | 1.8139          | 0.9      | 0.8978 |
| 1.8263        | 6.0   | 180  | 1.5195          | 0.9      | 0.8978 |
| 1.6005        | 7.0   | 210  | 1.3236          | 0.9333   | 0.9289 |
| 1.4191        | 8.0   | 240  | 1.1857          | 0.9333   | 0.9289 |
| 1.3119        | 9.0   | 270  | 1.1092          | 0.9333   | 0.9289 |
| 1.2529        | 10.0  | 300  | 1.0841          | 0.9333   | 0.9289 |


### Framework versions

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