metadata
license: apache-2.0
base_model: HuggingFaceTB/SmolLM2-135M-Instruct
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: SmolLM2-135M-Instruct_tldr-sft
results: []
SmolLM2-135M-Instruct_tldr-sft
This model is a fine-tuned version of HuggingFaceTB/SmolLM2-135M-Instruct on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.4363
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: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.4812 | 0.2 | 730 | 2.4774 |
| 2.4521 | 0.4 | 1460 | 2.4518 |
| 2.4463 | 0.6 | 2190 | 2.4405 |
| 2.4265 | 0.8 | 2920 | 2.4363 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.2.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2