Commit
•
f8ce38f
1
Parent(s):
bb982c6
update model card README.md
Browse files
README.md
ADDED
|
@@ -0,0 +1,80 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
tags:
|
| 3 |
+
- generated_from_trainer
|
| 4 |
+
model-index:
|
| 5 |
+
- name: roberta-large-cased
|
| 6 |
+
results: []
|
| 7 |
+
---
|
| 8 |
+
|
| 9 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 10 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 11 |
+
|
| 12 |
+
# roberta-large-cased
|
| 13 |
+
|
| 14 |
+
This model was trained from scratch on an unknown dataset.
|
| 15 |
+
It achieves the following results on the evaluation set:
|
| 16 |
+
- Loss: 0.6314
|
| 17 |
+
|
| 18 |
+
## Model description
|
| 19 |
+
|
| 20 |
+
More information needed
|
| 21 |
+
|
| 22 |
+
## Intended uses & limitations
|
| 23 |
+
|
| 24 |
+
More information needed
|
| 25 |
+
|
| 26 |
+
## Training and evaluation data
|
| 27 |
+
|
| 28 |
+
More information needed
|
| 29 |
+
|
| 30 |
+
## Training procedure
|
| 31 |
+
|
| 32 |
+
### Training hyperparameters
|
| 33 |
+
|
| 34 |
+
The following hyperparameters were used during training:
|
| 35 |
+
- learning_rate: 0.0001
|
| 36 |
+
- train_batch_size: 8
|
| 37 |
+
- eval_batch_size: 8
|
| 38 |
+
- seed: 42
|
| 39 |
+
- distributed_type: tpu
|
| 40 |
+
- num_devices: 8
|
| 41 |
+
- gradient_accumulation_steps: 4
|
| 42 |
+
- total_train_batch_size: 256
|
| 43 |
+
- total_eval_batch_size: 64
|
| 44 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 45 |
+
- lr_scheduler_type: cosine
|
| 46 |
+
- lr_scheduler_warmup_ratio: 0.05
|
| 47 |
+
- training_steps: 1000000
|
| 48 |
+
|
| 49 |
+
### Training results
|
| 50 |
+
|
| 51 |
+
| Training Loss | Epoch | Step | Validation Loss |
|
| 52 |
+
|:-------------:|:-----:|:-------:|:---------------:|
|
| 53 |
+
| 1.1322 | 0.05 | 50000 | 0.8690 |
|
| 54 |
+
| 1.0137 | 0.1 | 100000 | 0.8053 |
|
| 55 |
+
| 1.0225 | 0.15 | 150000 | 0.7951 |
|
| 56 |
+
| 0.9912 | 0.2 | 200000 | 0.7786 |
|
| 57 |
+
| 0.976 | 0.25 | 250000 | 0.7648 |
|
| 58 |
+
| 0.9594 | 0.3 | 300000 | 0.7550 |
|
| 59 |
+
| 0.9525 | 0.35 | 350000 | 0.7482 |
|
| 60 |
+
| 0.9152 | 0.4 | 400000 | 0.7343 |
|
| 61 |
+
| 0.8944 | 0.45 | 450000 | 0.7245 |
|
| 62 |
+
| 0.893 | 0.5 | 500000 | 0.7216 |
|
| 63 |
+
| 0.8997 | 1.02 | 550000 | 0.6843 |
|
| 64 |
+
| 0.8517 | 1.07 | 600000 | 0.6687 |
|
| 65 |
+
| 0.8544 | 1.12 | 650000 | 0.6624 |
|
| 66 |
+
| 0.8535 | 1.17 | 700000 | 0.6565 |
|
| 67 |
+
| 0.8064 | 1.22 | 750000 | 0.6523 |
|
| 68 |
+
| 0.7953 | 1.27 | 800000 | 0.6462 |
|
| 69 |
+
| 0.8051 | 1.32 | 850000 | 0.6386 |
|
| 70 |
+
| 0.8148 | 1.37 | 900000 | 0.6383 |
|
| 71 |
+
| 0.8004 | 1.42 | 950000 | 0.6408 |
|
| 72 |
+
| 0.8031 | 1.47 | 1000000 | 0.6314 |
|
| 73 |
+
|
| 74 |
+
|
| 75 |
+
### Framework versions
|
| 76 |
+
|
| 77 |
+
- Transformers 4.20.0
|
| 78 |
+
- Pytorch 1.12.0+cu102
|
| 79 |
+
- Datasets 2.7.0
|
| 80 |
+
- Tokenizers 0.12.0
|