File size: 1,706 Bytes
a4e79b8 |
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 |
---
base_model: mrfakename/refusal
datasets:
- mrfakename/refusal
inference: true
language:
- en
library_name: transformers
model_creator: mrfakename
model_name: refusal
pipeline_tag: text-generation
quantized_by: afrideva
tags:
- gguf
- ggml
- quantized
---
# refusal-GGUF
Quantized GGUF model files for [refusal](https://huggingface.co/mrfakename/refusal) from [mrfakename](https://huggingface.co/mrfakename)
## Original Model Card:
I messed up on the [previous model](https://huggingface.co/mrfakename/refusal-old). This is a fixed version.
A tiny 1B model that refuses basically anything you ask it! Trained on the [refusal](https://huggingface.co/datasets/mrfakename/refusal) dataset. Prompt format is ChatML.
Training results:
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 2.4352 | 0.0580 | 1 | 2.4462 |
| 1.5741 | 0.5217 | 9 | 1.4304 |
| 1.5204 | 1.0435 | 18 | 1.3701 |
| 1.0794 | 1.5217 | 27 | 1.3505 |
| 1.1275 | 2.0435 | 36 | 1.3344 |
| 0.6652 | 2.5217 | 45 | 1.4360 |
| 0.6248 | 3.0435 | 54 | 1.4313 |
| 0.6142 | 3.5072 | 63 | 1.4934 |
Training hyperparemeters:
The following hyperparameters were used during training:
- learning_rate: 0.0002
- 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: 10
- num_epochs: 4
Base model: https://huggingface.co/TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T |