---
license: apache-2.0
base_model: distilroberta-base
tags:
- generated_from_trainer
model-index:
- name: distilroberta-base-rbm213k-ep40
  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. -->

# distilroberta-base-rbm213k-ep40

This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2136

## 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: 7.3e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.19
- num_epochs: 40
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step   | Validation Loss |
|:-------------:|:-----:|:------:|:---------------:|
| 1.7375        | 1.0   | 13587  | 1.5878          |
| 1.6433        | 2.0   | 27174  | 1.5049          |
| 1.5936        | 3.0   | 40761  | 1.4690          |
| 1.5591        | 4.0   | 54348  | 1.4469          |
| 1.5452        | 5.0   | 67935  | 1.4324          |
| 1.5378        | 6.0   | 81522  | 1.4267          |
| 1.5333        | 7.0   | 95109  | 1.4279          |
| 1.5248        | 8.0   | 108696 | 1.4250          |
| 1.5095        | 9.0   | 122283 | 1.4120          |
| 1.4906        | 10.0  | 135870 | 1.3937          |
| 1.4746        | 11.0  | 149457 | 1.3860          |
| 1.4565        | 12.0  | 163044 | 1.3730          |
| 1.4377        | 13.0  | 176631 | 1.3672          |
| 1.4222        | 14.0  | 190218 | 1.3581          |
| 1.415         | 15.0  | 203805 | 1.3501          |
| 1.4148        | 16.0  | 217392 | 1.3422          |
| 1.404         | 17.0  | 230979 | 1.3356          |
| 1.3925        | 18.0  | 244566 | 1.3296          |
| 1.3782        | 19.0  | 258153 | 1.3207          |
| 1.3655        | 20.0  | 271740 | 1.3185          |
| 1.3628        | 21.0  | 285327 | 1.3109          |
| 1.355         | 22.0  | 298914 | 1.3046          |
| 1.3455        | 23.0  | 312501 | 1.2985          |
| 1.3365        | 24.0  | 326088 | 1.2900          |
| 1.3279        | 25.0  | 339675 | 1.2858          |
| 1.321         | 26.0  | 353262 | 1.2811          |
| 1.3198        | 27.0  | 366849 | 1.2746          |
| 1.3042        | 28.0  | 380436 | 1.2682          |
| 1.3057        | 29.0  | 394023 | 1.2641          |
| 1.2885        | 30.0  | 407610 | 1.2584          |
| 1.2841        | 31.0  | 421197 | 1.2507          |
| 1.2776        | 32.0  | 434784 | 1.2443          |
| 1.2688        | 33.0  | 448371 | 1.2415          |
| 1.2658        | 34.0  | 461958 | 1.2344          |
| 1.2606        | 35.0  | 475545 | 1.2315          |
| 1.2445        | 36.0  | 489132 | 1.2258          |
| 1.2409        | 37.0  | 502719 | 1.2211          |
| 1.2478        | 38.0  | 516306 | 1.2187          |
| 1.236         | 39.0  | 529893 | 1.2138          |
| 1.2277        | 40.0  | 543480 | 1.2124          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0