File size: 2,344 Bytes
aa140ef e05e849 aa140ef |
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 |
---
license: other
tags:
- generated_from_trainer
model-index:
- name: opt-125m-wikitext2
results:
- task:
type: zero-shot-classification
name: Zero-Shot Text Classification
dataset:
name: mathemakitten/winobias_antistereotype_dev
type: mathemakitten/winobias_antistereotype_dev
config: mathemakitten--winobias_antistereotype_dev
split: validation
metrics:
- type: accuracy
value: 0.4375
name: Accuracy
verified: true
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOTYwMThiZjYwMmNmZDA4ZmUyNzYwNjU3MGU0NTRhZjI5NWVjNGRmOTRhZWRlZWVmYzQ5MWRiNmQ0MzRlMjU0NyIsInZlcnNpb24iOjF9.hqz3Xwego8qtofxVwg0yO0Ovk6G_kXYj55gPPLzmBFYJQOuy9kSa8g2Sm_GRTU0GSU10rAtDzYCSyehqz58VBQ
- type: loss
value: 1.1480248920549638
name: Loss
verified: true
verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZDhkODZmMzgyODQyNzYzZGE4Nzc2YjhkZTk0ZDgwMGUwMjI0ZjliMmQyODM3NzlkODkwOWEwYzBlNWU4NzlmMCIsInZlcnNpb24iOjF9.qlhKo7zXMRYAYWTszoZ7VQqF52mCDBQ7PRLD6y6doFmAnmKa8nv4VQeDBFdYwomMA1Rdw2jwqhYcwbgSYEm0CA
---
<!-- 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. -->
# opt-125m-wikitext2
This model is a fine-tuned version of [facebook/opt-125m](https://huggingface.co/facebook/opt-125m) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.3409
## 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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.4123 | 1.0 | 2370 | 3.3621 |
| 3.2096 | 2.0 | 4740 | 3.3452 |
| 3.0822 | 3.0 | 7110 | 3.3409 |
### Framework versions
- Transformers 4.20.1
- Pytorch 1.11.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1
|