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---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: bert-goemotions-10epochs
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. -->
# bert-goemotions-10epochs
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1110
- Accuracy Thresh: 0.9619
## 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: 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: 15
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy Thresh |
|:-------------:|:-----:|:-----:|:---------------:|:---------------:|
| 0.126 | 1.0 | 5283 | 0.1127 | 0.9619 |
| 0.1101 | 2.0 | 10566 | 0.1110 | 0.9619 |
| 0.1051 | 3.0 | 15849 | 0.1111 | 0.9616 |
| 0.1007 | 4.0 | 21132 | 0.1126 | 0.9613 |
| 0.0968 | 5.0 | 26415 | 0.1145 | 0.9605 |
| 0.0932 | 6.0 | 31698 | 0.1160 | 0.9601 |
| 0.0902 | 7.0 | 36981 | 0.1192 | 0.9593 |
### Framework versions
- Transformers 4.35.1
- Pytorch 2.1.0+cu118
- Tokenizers 0.14.1
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