Chaido Porlou
commited on
Commit
·
d54f07e
1
Parent(s):
7171399
update model card README.md
Browse files
README.md
ADDED
|
@@ -0,0 +1,73 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
tags:
|
| 4 |
+
- generated_from_trainer
|
| 5 |
+
datasets:
|
| 6 |
+
- squad
|
| 7 |
+
model-index:
|
| 8 |
+
- name: greek-mt5-5ep-384
|
| 9 |
+
results: []
|
| 10 |
+
---
|
| 11 |
+
|
| 12 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 13 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 14 |
+
|
| 15 |
+
# greek-mt5-5ep-384
|
| 16 |
+
|
| 17 |
+
This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on the squad dataset.
|
| 18 |
+
It achieves the following results on the evaluation set:
|
| 19 |
+
- Loss: 1.2857
|
| 20 |
+
|
| 21 |
+
## Model description
|
| 22 |
+
|
| 23 |
+
More information needed
|
| 24 |
+
|
| 25 |
+
## Intended uses & limitations
|
| 26 |
+
|
| 27 |
+
More information needed
|
| 28 |
+
|
| 29 |
+
## Training and evaluation data
|
| 30 |
+
|
| 31 |
+
More information needed
|
| 32 |
+
|
| 33 |
+
## Training procedure
|
| 34 |
+
|
| 35 |
+
### Training hyperparameters
|
| 36 |
+
|
| 37 |
+
The following hyperparameters were used during training:
|
| 38 |
+
- learning_rate: 0.0001
|
| 39 |
+
- train_batch_size: 4
|
| 40 |
+
- eval_batch_size: 4
|
| 41 |
+
- seed: 42
|
| 42 |
+
- gradient_accumulation_steps: 16
|
| 43 |
+
- total_train_batch_size: 64
|
| 44 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 45 |
+
- lr_scheduler_type: linear
|
| 46 |
+
- num_epochs: 5
|
| 47 |
+
|
| 48 |
+
### Training results
|
| 49 |
+
|
| 50 |
+
| Training Loss | Epoch | Step | Validation Loss |
|
| 51 |
+
|:-------------:|:-----:|:----:|:---------------:|
|
| 52 |
+
| 4.4681 | 0.34 | 100 | 1.6231 |
|
| 53 |
+
| 1.9338 | 0.67 | 200 | 1.4427 |
|
| 54 |
+
| 1.8008 | 1.01 | 300 | 1.3917 |
|
| 55 |
+
| 1.6977 | 1.35 | 400 | 1.3656 |
|
| 56 |
+
| 1.6594 | 1.69 | 500 | 1.3360 |
|
| 57 |
+
| 1.6202 | 2.03 | 600 | 1.3239 |
|
| 58 |
+
| 1.5759 | 2.36 | 700 | 1.3143 |
|
| 59 |
+
| 1.5597 | 2.7 | 800 | 1.3093 |
|
| 60 |
+
| 1.544 | 3.04 | 900 | 1.3032 |
|
| 61 |
+
| 1.519 | 3.38 | 1000 | 1.2930 |
|
| 62 |
+
| 1.4996 | 3.72 | 1100 | 1.2923 |
|
| 63 |
+
| 1.5022 | 4.05 | 1200 | 1.2852 |
|
| 64 |
+
| 1.477 | 4.39 | 1300 | 1.2887 |
|
| 65 |
+
| 1.4755 | 4.73 | 1400 | 1.2857 |
|
| 66 |
+
|
| 67 |
+
|
| 68 |
+
### Framework versions
|
| 69 |
+
|
| 70 |
+
- Transformers 4.26.1
|
| 71 |
+
- Pytorch 1.13.0
|
| 72 |
+
- Datasets 2.1.0
|
| 73 |
+
- Tokenizers 0.13.2
|