transformers tensorboard safetensors roberta fill-mask generated_from_trainer autotrain_compatible endpoints_compatible region:us
---
tags:
- generated_from_trainer
model-index:
- name: mlm
  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. -->

# mlm

This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 4.4332

## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 19
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 200

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| No log        | 1.0   | 363   | 6.1900          |
| 6.3872        | 2.0   | 726   | 6.0995          |
| 6.0133        | 3.0   | 1089  | 5.9572          |
| 6.0133        | 4.0   | 1452  | 5.8604          |
| 5.8166        | 5.0   | 1815  | 5.8157          |
| 5.6819        | 6.0   | 2178  | 5.6691          |
| 5.5913        | 7.0   | 2541  | 5.6464          |
| 5.5913        | 8.0   | 2904  | 5.6466          |
| 5.474         | 9.0   | 3267  | 5.5466          |
| 5.3953        | 10.0  | 3630  | 5.3684          |
| 5.3953        | 11.0  | 3993  | 5.4065          |
| 5.146         | 12.0  | 4356  | 5.3911          |
| 5.0063        | 13.0  | 4719  | 5.4460          |
| 4.9626        | 14.0  | 5082  | 5.1105          |
| 4.9626        | 15.0  | 5445  | 5.0266          |
| 4.8661        | 16.0  | 5808  | 5.1130          |
| 4.7333        | 17.0  | 6171  | 4.9405          |
| 4.5668        | 18.0  | 6534  | 5.1256          |
| 4.5668        | 19.0  | 6897  | 4.9525          |
| 4.4479        | 20.0  | 7260  | 4.9429          |
| 4.4294        | 21.0  | 7623  | 4.8176          |
| 4.4294        | 22.0  | 7986  | 4.7685          |
| 4.2942        | 23.0  | 8349  | 4.8595          |
| 4.2436        | 24.0  | 8712  | 4.8513          |
| 4.1909        | 25.0  | 9075  | 4.6908          |
| 4.1909        | 26.0  | 9438  | 4.7562          |
| 4.0381        | 27.0  | 9801  | 4.7199          |
| 3.96          | 28.0  | 10164 | 4.7375          |
| 3.8603        | 29.0  | 10527 | 4.6489          |
| 3.8603        | 30.0  | 10890 | 4.7108          |
| 3.7543        | 31.0  | 11253 | 4.6501          |
| 3.7413        | 32.0  | 11616 | 4.5265          |
| 3.7413        | 33.0  | 11979 | 4.5428          |
| 3.6849        | 34.0  | 12342 | 4.5900          |
| 3.5363        | 35.0  | 12705 | 4.5982          |
| 3.4743        | 36.0  | 13068 | 4.4909          |
| 3.4743        | 37.0  | 13431 | 4.5766          |
| 3.397         | 38.0  | 13794 | 4.5368          |
| 3.3454        | 39.0  | 14157 | 4.4894          |
| 3.282         | 40.0  | 14520 | 4.4971          |
| 3.282         | 41.0  | 14883 | 4.4012          |
| 3.2091        | 42.0  | 15246 | 4.5916          |
| 3.1307        | 43.0  | 15609 | 4.6345          |
| 3.1307        | 44.0  | 15972 | 4.4369          |
| 3.0446        | 45.0  | 16335 | 4.3495          |
| 3.0002        | 46.0  | 16698 | 4.2865          |
| 2.8841        | 47.0  | 17061 | 4.3695          |
| 2.8841        | 48.0  | 17424 | 4.4281          |
| 2.8504        | 49.0  | 17787 | 4.3237          |
| 2.7504        | 50.0  | 18150 | 4.4089          |
| 2.6997        | 51.0  | 18513 | 4.5731          |
| 2.6997        | 52.0  | 18876 | 4.3369          |
| 2.6644        | 53.0  | 19239 | 4.4094          |
| 2.5963        | 54.0  | 19602 | 4.5419          |
| 2.5963        | 55.0  | 19965 | 4.4952          |
| 2.5604        | 56.0  | 20328 | 4.4036          |
| 2.5243        | 57.0  | 20691 | 4.4426          |
| 2.3608        | 58.0  | 21054 | 4.3658          |
| 2.3608        | 59.0  | 21417 | 4.5449          |
| 2.3536        | 60.0  | 21780 | 4.5518          |
| 2.28          | 61.0  | 22143 | 4.5334          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.14.1
