---
tags:
- generated_from_keras_callback
model-index:
- name: EricPeter/distilbert-base-cased
  results: []
---

<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->

# EricPeter/distilbert-base-cased

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.2356
- Epoch: 49

## 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:
- optimizer: {'inner_optimizer': {'class_name': 'AdamWeightDecay', 'config': {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'WarmUp', 'config': {'initial_learning_rate': 2e-05, 'decay_schedule_fn': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 2846, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, '__passive_serialization__': True}, 'warmup_steps': 4, 'power': 1.0, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.06}}, 'dynamic': True, 'initial_scale': 32768.0, 'dynamic_growth_steps': 2000}
- training_precision: mixed_float16

### Training results

| Train Loss | Epoch |
|:----------:|:-----:|
| 0.3158     | 0     |
| 0.3561     | 1     |
| 0.2694     | 2     |
| 0.2718     | 3     |
| 0.2687     | 4     |
| 0.2844     | 5     |
| 0.2824     | 6     |
| 0.2698     | 7     |
| 0.2882     | 8     |
| 0.2808     | 9     |
| 0.2710     | 10    |
| 0.2663     | 11    |
| 0.2574     | 12    |
| 0.2417     | 13    |
| 0.2581     | 14    |
| 0.2581     | 15    |
| 0.2625     | 16    |
| 0.2443     | 17    |
| 0.2360     | 18    |
| 0.2478     | 19    |
| 0.2431     | 20    |
| 0.2454     | 21    |
| 0.2409     | 22    |
| 0.2359     | 23    |
| 0.2428     | 24    |
| 0.2374     | 25    |
| 0.2419     | 26    |
| 0.2371     | 27    |
| 0.2392     | 28    |
| 0.2393     | 29    |
| 0.2378     | 30    |
| 0.2399     | 31    |
| 0.2381     | 32    |
| 0.2347     | 33    |
| 0.2414     | 34    |
| 0.2352     | 35    |
| 0.2361     | 36    |
| 0.2407     | 37    |
| 0.2397     | 38    |
| 0.2314     | 39    |
| 0.2370     | 40    |
| 0.2338     | 41    |
| 0.2360     | 42    |
| 0.2356     | 43    |
| 0.2375     | 44    |
| 0.2343     | 45    |
| 0.2366     | 46    |
| 0.2377     | 47    |
| 0.2369     | 48    |
| 0.2356     | 49    |


### Framework versions

- Transformers 4.32.0
- TensorFlow 2.12.0
- Datasets 2.14.4
- Tokenizers 0.13.3