File size: 2,390 Bytes
32615c6 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 |
---
library_name: transformers
license: apache-2.0
base_model: HuggingFaceTB/SmolLM2-135M
tags:
- smol-course
- module_1
- trl
- sft
- trl
- sft
- generated_from_trainer
model-index:
- name: SmolLM2-FT-MyDataset
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# SmolLM2-FT-MyDataset
This model is a fine-tuned version of [HuggingFaceTB/SmolLM2-135M](https://huggingface.co/HuggingFaceTB/SmolLM2-135M) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0215
## 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: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 1000
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.0715 | 0.0885 | 50 | 1.1590 |
| 1.1176 | 0.1770 | 100 | 1.1241 |
| 1.0683 | 0.2655 | 150 | 1.0955 |
| 1.0537 | 0.3540 | 200 | 1.0797 |
| 1.0467 | 0.4425 | 250 | 1.0705 |
| 1.0347 | 0.5310 | 300 | 1.0615 |
| 1.0088 | 0.6195 | 350 | 1.0548 |
| 1.0121 | 0.7080 | 400 | 1.0508 |
| 1.0266 | 0.7965 | 450 | 1.0426 |
| 1.0817 | 0.8850 | 500 | 1.0337 |
| 0.9961 | 0.9735 | 550 | 1.0283 |
| 0.8062 | 1.0619 | 600 | 1.0331 |
| 0.8166 | 1.1504 | 650 | 1.0299 |
| 0.7581 | 1.2389 | 700 | 1.0311 |
| 0.8606 | 1.3274 | 750 | 1.0285 |
| 0.8147 | 1.4159 | 800 | 1.0249 |
| 0.781 | 1.5044 | 850 | 1.0253 |
| 0.8281 | 1.5929 | 900 | 1.0228 |
| 0.8669 | 1.6814 | 950 | 1.0217 |
| 0.7959 | 1.7699 | 1000 | 1.0215 |
### Framework versions
- Transformers 4.44.2
- Pytorch 2.8.0+cu126
- Datasets 4.2.0
- Tokenizers 0.19.1
|