sakib131/bangla-conv-summarizer-model
Browse files- README.md +5 -30
- model.safetensors +1 -1
README.md
CHANGED
|
@@ -1,9 +1,7 @@
|
|
| 1 |
---
|
| 2 |
-
base_model:
|
| 3 |
tags:
|
| 4 |
- generated_from_trainer
|
| 5 |
-
metrics:
|
| 6 |
-
- rouge
|
| 7 |
model-index:
|
| 8 |
- name: bangla-conv-summarizer-model
|
| 9 |
results: []
|
|
@@ -14,14 +12,7 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 14 |
|
| 15 |
# bangla-conv-summarizer-model
|
| 16 |
|
| 17 |
-
This model is a fine-tuned version of [
|
| 18 |
-
It achieves the following results on the evaluation set:
|
| 19 |
-
- Loss: nan
|
| 20 |
-
- Rouge1: 0.0
|
| 21 |
-
- Rouge2: 0.0
|
| 22 |
-
- Rougel: 0.0
|
| 23 |
-
- Rougelsum: 0.0
|
| 24 |
-
- Gen Len: 0.0
|
| 25 |
|
| 26 |
## Model description
|
| 27 |
|
|
@@ -41,32 +32,16 @@ More information needed
|
|
| 41 |
|
| 42 |
The following hyperparameters were used during training:
|
| 43 |
- learning_rate: 2e-05
|
| 44 |
-
- train_batch_size:
|
| 45 |
-
- eval_batch_size:
|
| 46 |
- seed: 42
|
| 47 |
- gradient_accumulation_steps: 2
|
| 48 |
-
- total_train_batch_size:
|
| 49 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 50 |
- lr_scheduler_type: linear
|
| 51 |
- num_epochs: 10
|
| 52 |
- mixed_precision_training: Native AMP
|
| 53 |
|
| 54 |
-
### Training results
|
| 55 |
-
|
| 56 |
-
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|
| 57 |
-
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
|
| 58 |
-
| 0.0 | 1.0 | 921 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
|
| 59 |
-
| 0.0 | 2.0 | 1842 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
|
| 60 |
-
| 0.0 | 3.0 | 2763 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
|
| 61 |
-
| 0.0 | 4.0 | 3684 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
|
| 62 |
-
| 0.0 | 5.0 | 4605 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
|
| 63 |
-
| 0.0 | 6.0 | 5526 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
|
| 64 |
-
| 0.0 | 7.0 | 6447 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
|
| 65 |
-
| 0.0 | 8.0 | 7368 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
|
| 66 |
-
| 0.0 | 9.0 | 8289 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
|
| 67 |
-
| 0.0 | 10.0 | 9210 | nan | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
|
| 68 |
-
|
| 69 |
-
|
| 70 |
### Framework versions
|
| 71 |
|
| 72 |
- Transformers 4.35.2
|
|
|
|
| 1 |
---
|
| 2 |
+
base_model: sakib131/bangla-conv-summarizer-model
|
| 3 |
tags:
|
| 4 |
- generated_from_trainer
|
|
|
|
|
|
|
| 5 |
model-index:
|
| 6 |
- name: bangla-conv-summarizer-model
|
| 7 |
results: []
|
|
|
|
| 12 |
|
| 13 |
# bangla-conv-summarizer-model
|
| 14 |
|
| 15 |
+
This model is a fine-tuned version of [sakib131/bangla-conv-summarizer-model](https://huggingface.co/sakib131/bangla-conv-summarizer-model) on an unknown dataset.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 16 |
|
| 17 |
## Model description
|
| 18 |
|
|
|
|
| 32 |
|
| 33 |
The following hyperparameters were used during training:
|
| 34 |
- learning_rate: 2e-05
|
| 35 |
+
- train_batch_size: 2
|
| 36 |
+
- eval_batch_size: 2
|
| 37 |
- seed: 42
|
| 38 |
- gradient_accumulation_steps: 2
|
| 39 |
+
- total_train_batch_size: 4
|
| 40 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 41 |
- lr_scheduler_type: linear
|
| 42 |
- num_epochs: 10
|
| 43 |
- mixed_precision_training: Native AMP
|
| 44 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 45 |
### Framework versions
|
| 46 |
|
| 47 |
- Transformers 4.35.2
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1625422896
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:762243cb0eb5b5b2bda6c19986ddd61458f9d2f5cf6dffe0a1be3f30c312c7cf
|
| 3 |
size 1625422896
|