metadata
library_name: transformers
base_model: ridger/MMfreeLM-370M
tags:
- generated_from_trainer
model-index:
- name: results
results: []
results
This model is a fine-tuned version of ridger/MMfreeLM-370M on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.2207
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: 0.004
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 1000
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.2727 | 2.7982 | 5000 | 3.4141 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1