File size: 1,841 Bytes
8a8c2e8 |
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 |
---
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: rerun-09-19-2024-experiment-distill-tree-babylm2024-360-0
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. -->
# rerun-09-19-2024-experiment-distill-tree-babylm2024-360-0
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7969
## 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: 0.00025
- train_batch_size: 64
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 200
- num_epochs: 10
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 5.2646 | 1.0 | 2065 | 5.7078 |
| 3.1369 | 2.0 | 4130 | 3.4836 |
| 2.5043 | 3.0 | 6195 | 2.8597 |
| 2.2114 | 4.0 | 8260 | 2.4983 |
| 1.8935 | 5.0 | 10325 | 2.2635 |
| 1.7655 | 6.0 | 12390 | 2.0539 |
| 1.591 | 7.0 | 14455 | 1.9009 |
| 1.518 | 8.0 | 16520 | 1.8300 |
| 1.4563 | 9.0 | 18585 | 1.8031 |
| 1.4882 | 10.0 | 20650 | 1.7969 |
### Framework versions
- Transformers 4.45.0.dev0
- Pytorch 2.4.0+cu121
- Tokenizers 0.19.1
|