File size: 1,781 Bytes
e43459d |
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 |
---
library_name: transformers
license: apache-2.0
base_model: answerdotai/ModernBERT-base
tags:
- generated_from_trainer
model-index:
- name: arq-modernbert-focal-lr-3e-5
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. -->
# arq-modernbert-focal-lr-3e-5
This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 28.4821
- F1-micro: 0.4796
- F1-macro: 0.4528
## 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: 3e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- 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: 18
- num_epochs: 4
### Training results
| Training Loss | Epoch | Step | Validation Loss | F1-micro | F1-macro |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
| 78.0007 | 1.0 | 45 | 27.7867 | 0.3995 | 0.3173 |
| 75.4879 | 2.0 | 90 | 27.6958 | 0.4442 | 0.3902 |
| 72.5709 | 3.0 | 135 | 27.8264 | 0.4444 | 0.3989 |
| 69.4113 | 4.0 | 180 | 28.4821 | 0.4796 | 0.4528 |
### Framework versions
- Transformers 4.48.1
- Pytorch 2.5.1+cu121
- Tokenizers 0.21.0
|