File size: 1,534 Bytes
d6a04ad eaf84a5 58314e2 eaf84a5 d6a04ad 032f63a ee9b369 151c02b ee9b369 6101556 ee9b369 eaf84a5 ee9b369 eaf84a5 43d5b4b eaf84a5 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 |
---
license: apache-2.0
tags:
- generated_from_trainer
base_model: crossroderick/occitan-distilgpt2-medium
model-index:
- name: occitan-distilgpt2-medium
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. -->
# occitan-distilgpt2-medium
This model is a fine-tuned version of [crossroderick/occitan-distilgpt2-medium](https://huggingface.co/crossroderick/occitan-distilgpt2-medium) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.1396
## 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: 12
- eval_batch_size: 12
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 48
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.2512 | 1.0 | 854 | 2.1453 |
| 2.2303 | 2.0 | 1708 | 2.1441 |
| 2.2065 | 3.0 | 2562 | 2.1396 |
### Framework versions
- Transformers 4.38.1
- Pytorch 2.0.1+cu117
- Datasets 2.17.1
- Tokenizers 0.15.2
|