pytorch tensorboard roberta token-classification transformers generated_from_trainer license:mit model-index autotrain_compatible
---
license: mit
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: roberta_large-chunking_0715_v0
  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. -->

# roberta_large-chunking_0715_v0

This model is a fine-tuned version of [roberta-large](https://huggingface.co/roberta-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3602
- Precision: 0.3182
- Recall: 0.2213
- F1: 0.2610
- Accuracy: 0.8681

## 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: 1e-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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| No log        | 1.0   | 63   | 0.4019          | 0.5525    | 0.0824 | 0.1434 | 0.8748   |
| No log        | 2.0   | 126  | 0.3614          | 0.4887    | 0.1517 | 0.2315 | 0.8747   |
| No log        | 3.0   | 189  | 0.3569          | 0.4484    | 0.1638 | 0.2399 | 0.8744   |
| No log        | 4.0   | 252  | 0.3581          | 0.3685    | 0.1909 | 0.2515 | 0.8719   |
| No log        | 5.0   | 315  | 0.3602          | 0.3182    | 0.2213 | 0.2610 | 0.8681   |


### Framework versions

- Transformers 4.20.1
- Pytorch 1.12.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1
