metadata
library_name: transformers
base_model: Trelis/SmolLM-135M-layer-pruned-90M-raw
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: 99-v10-base
results: []
99-v10-base
This model is a fine-tuned version of Trelis/SmolLM-135M-layer-pruned-90M-raw on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.9658
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: 0.001
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 4
- total_train_batch_size: 512
- total_eval_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.01
- lr_scheduler_warmup_steps: 19
- training_steps: 1951
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.7232 | 0.1999 | 390 | 0.6950 |
| 0.7878 | 0.3998 | 780 | 0.7088 |
| 0.5667 | 0.5997 | 1170 | 0.5514 |
| 0.5358 | 0.7996 | 1560 | 0.7882 |
| 0.4758 | 0.9995 | 1950 | 0.9658 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.1.1+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1