metadata
base_model: linker_v5/stage1
tags:
- generated_from_trainer
datasets:
- jarod0411/linker_v3
metrics:
- accuracy
model-index:
- name: stage2_v5
results:
- task:
name: Causal Language Modeling
type: text-generation
dataset:
name: jarod0411/linker_v3
type: jarod0411/linker_v3
metrics:
- name: Accuracy
type: accuracy
value: 0.916456858900755
stage2_v5
This model is a fine-tuned version of linker_v5/stage1 on the jarod0411/linker_v3 dataset. It achieves the following results on the evaluation set:
- Loss: 0.2448
- Accuracy: 0.9165
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: 24
- eval_batch_size: 24
- seed: 1
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 192
- total_eval_batch_size: 192
- 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 |
|---|---|---|---|---|
| 0.3173 | 1.0 | 11304 | 0.2837 | 0.9060 |
| 0.284 | 2.0 | 22608 | 0.2613 | 0.9124 |
| 0.2719 | 3.0 | 33912 | 0.2546 | 0.9140 |
| 0.2654 | 4.0 | 45216 | 0.2511 | 0.9148 |
| 0.2613 | 5.0 | 56520 | 0.2489 | 0.9154 |
| 0.2586 | 6.0 | 67824 | 0.2474 | 0.9158 |
| 0.2569 | 7.0 | 79128 | 0.2463 | 0.9161 |
| 0.2553 | 8.0 | 90432 | 0.2455 | 0.9163 |
| 0.2545 | 9.0 | 101736 | 0.2450 | 0.9164 |
| 0.2539 | 10.0 | 113040 | 0.2448 | 0.9165 |
Framework versions
- Transformers 4.38.0.dev0
- Pytorch 2.2.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2