File size: 2,011 Bytes
b0fab38 |
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 74 |
---
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: 1.0619
## 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
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:------:|:-----:|:---------------:|
| 2.5649 | 0.0766 | 5000 | 1.7395 |
| 1.6798 | 0.1533 | 10000 | 1.5223 |
| 1.5332 | 0.2299 | 15000 | 1.4212 |
| 1.4548 | 0.3065 | 20000 | 1.3561 |
| 1.3952 | 0.3832 | 25000 | 1.3058 |
| 1.344 | 0.4598 | 30000 | 1.2555 |
| 1.2982 | 0.5365 | 35000 | 1.2137 |
| 1.2519 | 0.6131 | 40000 | 1.1711 |
| 1.211 | 0.6897 | 45000 | 1.1336 |
| 1.1732 | 0.7664 | 50000 | 1.1004 |
| 1.146 | 0.8430 | 55000 | 1.0770 |
| 1.1245 | 0.9196 | 60000 | 1.0648 |
| 1.1172 | 0.9963 | 65000 | 1.0619 |
### Framework versions
- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
|