metadata
license: apache-2.0
base_model: allenai/longformer-base-4096
tags:
- generated_from_trainer
model-index:
- name: clinical_longformer_same_tokens_exp_gpu_vtres
results: []
clinical_longformer_same_tokens_exp_gpu_vtres
This model is a fine-tuned version of allenai/longformer-base-4096 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.9360
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: 2e-05
- train_batch_size: 4
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 128
- total_train_batch_size: 512
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1500
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.4475 | 0.28 | 129 | 2.4612 |
| 3.2401 | 0.57 | 258 | 2.2069 |
| 3.0136 | 0.85 | 387 | 2.0084 |
| 2.5518 | 1.13 | 516 | 1.8632 |
| 2.9398 | 1.42 | 645 | 1.7412 |
| 2.0755 | 1.7 | 774 | 1.6260 |
| 2.231 | 1.98 | 903 | 1.5247 |
| 1.9556 | 2.27 | 1032 | 1.4482 |
| 2.0415 | 2.55 | 1161 | 1.3771 |
| 2.111 | 2.83 | 1290 | 1.3097 |
| 1.6116 | 3.12 | 1419 | 1.2572 |
| 1.6044 | 3.4 | 1548 | 1.2108 |
| 1.6614 | 3.68 | 1677 | 1.1802 |
| 1.5013 | 3.97 | 1806 | 1.1371 |
| 1.4666 | 4.25 | 1935 | 1.1079 |
| 1.4608 | 4.53 | 2064 | 1.0894 |
| 1.5144 | 4.82 | 2193 | 1.0672 |
| 1.3958 | 5.1 | 2322 | 1.0390 |
| 1.3949 | 5.38 | 2451 | 1.0283 |
| 1.539 | 5.67 | 2580 | 1.0249 |
| 1.5819 | 5.95 | 2709 | 1.0085 |
| 1.2588 | 6.23 | 2838 | 1.0033 |
| 1.2704 | 6.52 | 2967 | 0.9875 |
| 1.2457 | 6.8 | 3096 | 0.9768 |
| 1.2066 | 7.08 | 3225 | 0.9707 |
| 1.226 | 7.37 | 3354 | 0.9657 |
| 1.3292 | 7.65 | 3483 | 0.9590 |
| 1.1629 | 7.93 | 3612 | 0.9468 |
| 1.2711 | 8.22 | 3741 | 0.9437 |
| 1.3092 | 8.5 | 3870 | 0.9445 |
| 1.35 | 8.78 | 3999 | 0.9424 |
| 1.3402 | 9.07 | 4128 | 0.9360 |
| 1.1433 | 9.35 | 4257 | 0.9349 |
| 1.3059 | 9.63 | 4386 | 0.9296 |
| 1.1391 | 9.92 | 4515 | 0.9360 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.1+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0