metadata
base_model: HuggingFaceTB/SmolLM-360M-Instruct
datasets:
- arrow
library_name: transformers
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: Smollm-finetune-emotion-epoch-01-1145
results: []
Smollm-finetune-emotion-epoch-01-1145
This model is a fine-tuned version of HuggingFaceTB/SmolLM-360M-Instruct on the arrow dataset. It achieves the following results on the evaluation set:
- Loss: 0.1208
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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 13.3376 | 0.3361 | 100 | 0.3085 |
| 0.1576 | 0.6723 | 200 | 0.1208 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.2.0
- Tokenizers 0.19.1