Migrate model card from transformers-repo
Browse filesRead announcement at https://discuss.huggingface.co/t/announcement-all-model-cards-will-be-migrated-to-hf-co-model-repos/2755
Original file history: https://github.com/huggingface/transformers/commits/master/model_cards/distilbert-base-uncased-finetuned-sst-2-english-README.md
README.md
ADDED
|
@@ -0,0 +1,19 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
language: en
|
| 3 |
+
license: apache-2.0
|
| 4 |
+
datasets:
|
| 5 |
+
- sst-2
|
| 6 |
+
---
|
| 7 |
+
|
| 8 |
+
# DistilBERT base uncased finetuned SST-2
|
| 9 |
+
|
| 10 |
+
This model is a fine-tune checkpoint of [DistilBERT-base-uncased](https://huggingface.co/distilbert-base-uncased), fine-tuned on SST-2.
|
| 11 |
+
This model reaches an accuracy of 91.3 on the dev set (for comparison, Bert bert-base-uncased version reaches an accuracy of 92.7).
|
| 12 |
+
|
| 13 |
+
# Fine-tuning hyper-parameters
|
| 14 |
+
|
| 15 |
+
- learning_rate = 1e-5
|
| 16 |
+
- batch_size = 32
|
| 17 |
+
- warmup = 600
|
| 18 |
+
- max_seq_length = 128
|
| 19 |
+
- num_train_epochs = 3.0
|