File size: 1,673 Bytes
c8b6fba
 
 
46dcf35
c8b6fba
 
 
46dcf35
c8b6fba
 
 
 
 
 
46dcf35
c8b6fba
46dcf35
fa6b6a5
1ff18b8
c8b6fba
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
639e2f7
1ff18b8
 
c8b6fba
 
 
 
 
 
 
 
1ff18b8
 
 
 
 
 
c8b6fba
 
 
 
 
1ff18b8
c8b6fba
 
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
---
library_name: transformers
license: apache-2.0
base_model: HuggingFaceTB/SmolLM2-135M-Instruct
tags:
- generated_from_trainer
model-index:
- name: toxicity-scorer-smollm2-135m-it-freeze
  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. -->

# toxicity-scorer-smollm2-135m-it-freeze

This model is a fine-tuned version of [HuggingFaceTB/SmolLM2-135M-Instruct](https://huggingface.co/HuggingFaceTB/SmolLM2-135M-Instruct) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.7842

## 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: 3e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 0     | 0    | 3.8389          |
| 3.8172        | 1.0   | 63   | 3.8037          |
| 3.7957        | 2.0   | 126  | 3.7857          |
| 3.7137        | 3.0   | 189  | 3.7842          |


### Framework versions

- Transformers 4.46.3
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.20.3