Update README.md
Browse files
README.md
CHANGED
|
@@ -1,3 +1,93 @@
|
|
| 1 |
-
---
|
| 2 |
-
license: mit
|
| 3 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: mit
|
| 3 |
+
base_model:
|
| 4 |
+
- agentlans/multilingual-e5-small-aligned-v2
|
| 5 |
+
language:
|
| 6 |
+
- en
|
| 7 |
+
- zh
|
| 8 |
+
- fr
|
| 9 |
+
- pt
|
| 10 |
+
- es
|
| 11 |
+
- ja
|
| 12 |
+
- tr
|
| 13 |
+
- ru
|
| 14 |
+
- ar
|
| 15 |
+
- ko
|
| 16 |
+
- th
|
| 17 |
+
- it
|
| 18 |
+
- de
|
| 19 |
+
- vi
|
| 20 |
+
- ms
|
| 21 |
+
- id
|
| 22 |
+
- fil
|
| 23 |
+
- hi
|
| 24 |
+
- pl
|
| 25 |
+
- cs
|
| 26 |
+
- nl
|
| 27 |
+
- km
|
| 28 |
+
- my
|
| 29 |
+
- fa
|
| 30 |
+
- gu
|
| 31 |
+
- ur
|
| 32 |
+
- te
|
| 33 |
+
- mr
|
| 34 |
+
- he
|
| 35 |
+
- bn
|
| 36 |
+
- ta
|
| 37 |
+
- uk
|
| 38 |
+
- bo
|
| 39 |
+
- kk
|
| 40 |
+
- mn
|
| 41 |
+
- ug
|
| 42 |
+
- yue
|
| 43 |
+
datasets:
|
| 44 |
+
- agentlans/refusal-classifier-data
|
| 45 |
+
pipeline_tag: text-classification
|
| 46 |
+
---
|
| 47 |
+
|
| 48 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 49 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 50 |
+
|
| 51 |
+
# multilingual-e5-small-aligned-v2-conversation-refusal
|
| 52 |
+
|
| 53 |
+
This model is a fine-tuned version of [agentlans/multilingual-e5-small-aligned-v2] on the [agentlans/refusal-classifier-data] dataset.
|
| 54 |
+
It achieves the following results on the evaluation set:
|
| 55 |
+
- Loss: 0.2665
|
| 56 |
+
- Accuracy: 0.9153
|
| 57 |
+
- Num Input Tokens Seen: 5347200
|
| 58 |
+
|
| 59 |
+
## Model description
|
| 60 |
+
|
| 61 |
+
More information needed
|
| 62 |
+
|
| 63 |
+
## Intended uses & limitations
|
| 64 |
+
|
| 65 |
+
More information needed
|
| 66 |
+
|
| 67 |
+
## Training and evaluation data
|
| 68 |
+
|
| 69 |
+
More information needed
|
| 70 |
+
|
| 71 |
+
## Training procedure
|
| 72 |
+
|
| 73 |
+
### Training hyperparameters
|
| 74 |
+
|
| 75 |
+
The following hyperparameters were used during training:
|
| 76 |
+
- learning_rate: 5e-05
|
| 77 |
+
- train_batch_size: 8
|
| 78 |
+
- eval_batch_size: 8
|
| 79 |
+
- seed: 42
|
| 80 |
+
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
|
| 81 |
+
- lr_scheduler_type: linear
|
| 82 |
+
- num_epochs: 5.0
|
| 83 |
+
|
| 84 |
+
### Training results
|
| 85 |
+
|
| 86 |
+
|
| 87 |
+
|
| 88 |
+
### Framework versions
|
| 89 |
+
|
| 90 |
+
- Transformers 5.0.0.dev0
|
| 91 |
+
- Pytorch 2.9.1+cu128
|
| 92 |
+
- Datasets 4.4.1
|
| 93 |
+
- Tokenizers 0.22.1
|