File size: 2,859 Bytes
533077f |
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 82 83 |
---
library_name: transformers
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: opt-babylm2-rewritten-clean-spacy_random-removal-num-adj-earlystop-bpe_seed-42_1e-3
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. -->
# opt-babylm2-rewritten-clean-spacy_random-removal-num-adj-earlystop-bpe_seed-42_1e-3
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.6849
- Accuracy: 0.4784
## 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: 0.001
- train_batch_size: 32
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 256
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 32000
- num_epochs: 20.0
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-------:|:-----:|:---------------:|:--------:|
| 4.0965 | 0.9997 | 2241 | 3.8077 | 0.3617 |
| 3.438 | 1.9997 | 4482 | 3.2954 | 0.4103 |
| 3.124 | 2.9997 | 6723 | 3.0855 | 0.4310 |
| 2.964 | 3.9997 | 8964 | 2.9821 | 0.4414 |
| 2.8431 | 4.9997 | 11205 | 2.9217 | 0.4475 |
| 2.7861 | 5.9997 | 13446 | 2.8828 | 0.4518 |
| 2.7474 | 6.9997 | 15687 | 2.8555 | 0.4548 |
| 2.7083 | 7.9997 | 17928 | 2.8363 | 0.4568 |
| 2.6908 | 8.9997 | 20169 | 2.8231 | 0.4584 |
| 2.6704 | 9.9997 | 22410 | 2.8133 | 0.4595 |
| 2.6536 | 10.9997 | 24651 | 2.8057 | 0.4603 |
| 2.6385 | 11.9997 | 26892 | 2.7991 | 0.4613 |
| 2.6417 | 12.9997 | 29133 | 2.7933 | 0.4621 |
| 2.6348 | 13.9997 | 31374 | 2.7883 | 0.4627 |
| 2.6156 | 14.9997 | 33615 | 2.7718 | 0.4648 |
| 2.5708 | 15.9997 | 35856 | 2.7449 | 0.4683 |
| 2.5219 | 16.9997 | 38097 | 2.7226 | 0.4711 |
| 2.4669 | 17.9997 | 40338 | 2.7019 | 0.4743 |
| 2.4023 | 18.9997 | 42579 | 2.6891 | 0.4769 |
| 2.3317 | 19.9997 | 44820 | 2.6849 | 0.4784 |
### Framework versions
- Transformers 4.48.0
- Pytorch 2.5.1
- Datasets 3.2.0
- Tokenizers 0.21.0
|