metadata
base_model: linker_v4/stage1
tags:
- generated_from_trainer
datasets:
- jarod0411/linker_v2
metrics:
- accuracy
model-index:
- name: stage2
results:
- task:
name: Causal Language Modeling
type: text-generation
dataset:
name: jarod0411/linker_v2
type: jarod0411/linker_v2
metrics:
- name: Accuracy
type: accuracy
value: 0.8953714759150758
stage2
This model is a fine-tuned version of linker_v4/stage1 on the jarod0411/linker_v2 dataset. It achieves the following results on the evaluation set:
- Loss: 0.3246
- Accuracy: 0.8954
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: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 1
- distributed_type: multi-GPU
- num_devices: 5
- total_train_batch_size: 80
- total_eval_batch_size: 80
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.3608 | 1.0 | 43075 | 0.3509 | 0.8883 |
| 0.3495 | 2.0 | 86150 | 0.3408 | 0.8910 |
| 0.3435 | 3.0 | 129225 | 0.3355 | 0.8925 |
| 0.3394 | 4.0 | 172300 | 0.3322 | 0.8933 |
| 0.3367 | 5.0 | 215375 | 0.3298 | 0.8940 |
| 0.3343 | 6.0 | 258450 | 0.3279 | 0.8945 |
| 0.3326 | 7.0 | 301525 | 0.3267 | 0.8948 |
| 0.3311 | 8.0 | 344600 | 0.3256 | 0.8951 |
| 0.33 | 9.0 | 387675 | 0.3249 | 0.8953 |
| 0.3296 | 10.0 | 430750 | 0.3246 | 0.8954 |
Framework versions
- Transformers 4.38.0.dev0
- Pytorch 2.2.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2