metadata
tags:
- generated_from_trainer
datasets:
- wikitext
model-index:
- name: MiniLMv2-L6-H384-distilled-from-RoBERTa-Large-finetuned-wikitext103
results: []
MiniLMv2-L6-H384-distilled-from-RoBERTa-Large-finetuned-wikitext103
This model is a fine-tuned version of nreimers/MiniLMv2-L6-H384-distilled-from-RoBERTa-Large on the wikitext dataset. It achieves the following results on the evaluation set:
- Loss: 4.8236
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 5.9694 | 1.0 | 3125 | 5.1757 |
| 5.2228 | 2.0 | 6250 | 4.8847 |
| 5.0653 | 3.0 | 9375 | 4.8236 |
Framework versions
- Transformers 4.16.2
- Pytorch 1.8.1
- Datasets 1.11.0
- Tokenizers 0.10.3