File size: 2,467 Bytes
2b605a4 fde3528 2b605a4 fde3528 2b605a4 fde3528 2b605a4 fde3528 2b605a4 fde3528 2b605a4 fde3528 2b605a4 fde3528 2b605a4 fde3528 2b605a4 fde3528 2b605a4 fde3528 2b605a4 fde3528 2b605a4 fde3528 2b605a4 fde3528 2b605a4 fde3528 2b605a4 fde3528 2b605a4 fde3528 2b605a4 fde3528 |
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 75 76 77 78 79 80 81 |
---
library_name: transformers
license: other
base_model: facebook/opt-125m
tags:
- generated_from_trainer
model-index:
- name: getcode
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. -->
# getcode
This model is a fine-tuned version of [facebook/opt-125m](https://huggingface.co/facebook/opt-125m) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3129
## 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: 0.0004
- train_batch_size: 16
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 128
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 20
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-------:|:----:|:---------------:|
| No log | 1.0 | 22 | 1.8588 |
| No log | 2.0 | 44 | 1.4885 |
| No log | 3.0 | 66 | 1.3922 |
| No log | 4.0 | 88 | 1.3830 |
| No log | 5.0 | 110 | 1.3547 |
| No log | 6.0 | 132 | 1.3556 |
| No log | 7.0 | 154 | 1.3672 |
| No log | 8.0 | 176 | 1.3509 |
| No log | 9.0 | 198 | 1.3414 |
| No log | 10.0 | 220 | 1.3428 |
| No log | 11.0 | 242 | 1.3361 |
| No log | 12.0 | 264 | 1.3332 |
| No log | 13.0 | 286 | 1.3333 |
| No log | 14.0 | 308 | 1.3280 |
| No log | 15.0 | 330 | 1.3232 |
| No log | 16.0 | 352 | 1.3215 |
| No log | 17.0 | 374 | 1.3185 |
| No log | 18.0 | 396 | 1.3142 |
| No log | 19.0 | 418 | 1.3129 |
| No log | 19.0947 | 420 | 1.3129 |
### Framework versions
- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
|