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---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: distilgpt_oscarth_0040
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. -->
# distilgpt_oscarth_0040
This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 3.0004
- Validation Loss: 2.8864
- Epoch: 39
## 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: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32
### Training results
| Train Loss | Validation Loss | Epoch |
|:----------:|:---------------:|:-----:|
| 5.6021 | 4.5759 | 0 |
| 4.4536 | 4.1235 | 1 |
| 4.1386 | 3.9013 | 2 |
| 3.9546 | 3.7563 | 3 |
| 3.8255 | 3.6477 | 4 |
| 3.7271 | 3.5617 | 5 |
| 3.6488 | 3.4936 | 6 |
| 3.5844 | 3.4379 | 7 |
| 3.5301 | 3.3891 | 8 |
| 3.4833 | 3.3448 | 9 |
| 3.4427 | 3.3098 | 10 |
| 3.4068 | 3.2750 | 11 |
| 3.3749 | 3.2425 | 12 |
| 3.3462 | 3.2211 | 13 |
| 3.3202 | 3.1941 | 14 |
| 3.2964 | 3.1720 | 15 |
| 3.2749 | 3.1512 | 16 |
| 3.2548 | 3.1322 | 17 |
| 3.2363 | 3.1141 | 18 |
| 3.2188 | 3.0982 | 19 |
| 3.2025 | 3.0818 | 20 |
| 3.1871 | 3.0678 | 21 |
| 3.1724 | 3.0533 | 22 |
| 3.1583 | 3.0376 | 23 |
| 3.1446 | 3.0256 | 24 |
| 3.1318 | 3.0122 | 25 |
| 3.1195 | 3.0016 | 26 |
| 3.1079 | 2.9901 | 27 |
| 3.0968 | 2.9826 | 28 |
| 3.0863 | 2.9711 | 29 |
| 3.0761 | 2.9593 | 30 |
| 3.0665 | 2.9514 | 31 |
| 3.0572 | 2.9432 | 32 |
| 3.0483 | 2.9347 | 33 |
| 3.0396 | 2.9250 | 34 |
| 3.0313 | 2.9160 | 35 |
| 3.0232 | 2.9095 | 36 |
| 3.0153 | 2.9028 | 37 |
| 3.0078 | 2.8949 | 38 |
| 3.0004 | 2.8864 | 39 |
### Framework versions
- Transformers 4.20.1
- TensorFlow 2.8.2
- Datasets 2.3.2
- Tokenizers 0.12.1
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