File size: 1,646 Bytes
dfe2abf 8cae701 dfe2abf fddf5d2 dfe2abf fddf5d2 dfe2abf fddf5d2 dfe2abf |
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 63 64 65 |
---
license: apache-2.0
base_model: distilgpt2
tags:
- generated_from_trainer
model-index:
- name: distilgpt2-finetuned-furryirl2
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. -->
# distilgpt2-finetuned-furryirl2
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:
- Loss: 3.3031
## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.8899 | 1.0 | 852 | 3.5930 |
| 3.7515 | 2.0 | 1704 | 3.4929 |
| 3.6564 | 3.0 | 2556 | 3.4250 |
| 3.6221 | 4.0 | 3408 | 3.3787 |
| 3.5517 | 5.0 | 4260 | 3.3441 |
| 3.5009 | 6.0 | 5112 | 3.3200 |
| 3.5012 | 7.0 | 5964 | 3.3080 |
| 3.4741 | 8.0 | 6816 | 3.3031 |
### Framework versions
- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
|