File size: 1,957 Bytes
7de237e |
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 66 67 68 69 70 71 72 73 |
---
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: codeparrot-ds
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. -->
# codeparrot-ds
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0590
## 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: 0.0005
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 1000
- num_epochs: 1
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 2.569 | 0.08 | 5000 | 1.7450 |
| 1.6804 | 0.15 | 10000 | 1.5230 |
| 1.5318 | 0.23 | 15000 | 1.4228 |
| 1.4512 | 0.31 | 20000 | 1.3543 |
| 1.3933 | 0.38 | 25000 | 1.3017 |
| 1.341 | 0.46 | 30000 | 1.2547 |
| 1.2962 | 0.54 | 35000 | 1.2101 |
| 1.2501 | 0.61 | 40000 | 1.1704 |
| 1.2074 | 0.69 | 45000 | 1.1307 |
| 1.1722 | 0.77 | 50000 | 1.0972 |
| 1.141 | 0.84 | 55000 | 1.0740 |
| 1.1228 | 0.92 | 60000 | 1.0618 |
| 1.1126 | 1.0 | 65000 | 1.0590 |
### Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
|