Model save
Browse files- README.md +7 -12
- generation_config.json +1 -1
README.md
CHANGED
|
@@ -1,6 +1,5 @@
|
|
| 1 |
---
|
| 2 |
tags:
|
| 3 |
-
- summarization
|
| 4 |
- generated_from_trainer
|
| 5 |
model-index:
|
| 6 |
- name: BioNLP-intro-disc-eLife
|
|
@@ -32,22 +31,18 @@ More information needed
|
|
| 32 |
|
| 33 |
The following hyperparameters were used during training:
|
| 34 |
- learning_rate: 1.3739167643078955e-06
|
| 35 |
-
- train_batch_size:
|
| 36 |
-
- eval_batch_size:
|
| 37 |
- seed: 42
|
| 38 |
- distributed_type: multi-GPU
|
| 39 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 40 |
- lr_scheduler_type: linear
|
| 41 |
-
- num_epochs:
|
| 42 |
- mixed_precision_training: Native AMP
|
| 43 |
|
| 44 |
-
### Training results
|
| 45 |
-
|
| 46 |
-
|
| 47 |
-
|
| 48 |
### Framework versions
|
| 49 |
|
| 50 |
-
- Transformers 4.
|
| 51 |
-
- Pytorch
|
| 52 |
-
- Datasets 2.
|
| 53 |
-
- Tokenizers 0.
|
|
|
|
| 1 |
---
|
| 2 |
tags:
|
|
|
|
| 3 |
- generated_from_trainer
|
| 4 |
model-index:
|
| 5 |
- name: BioNLP-intro-disc-eLife
|
|
|
|
| 31 |
|
| 32 |
The following hyperparameters were used during training:
|
| 33 |
- learning_rate: 1.3739167643078955e-06
|
| 34 |
+
- train_batch_size: 4
|
| 35 |
+
- eval_batch_size: 4
|
| 36 |
- seed: 42
|
| 37 |
- distributed_type: multi-GPU
|
| 38 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 39 |
- lr_scheduler_type: linear
|
| 40 |
+
- num_epochs: 10
|
| 41 |
- mixed_precision_training: Native AMP
|
| 42 |
|
|
|
|
|
|
|
|
|
|
|
|
|
| 43 |
### Framework versions
|
| 44 |
|
| 45 |
+
- Transformers 4.40.1
|
| 46 |
+
- Pytorch 2.3.0+cu121
|
| 47 |
+
- Datasets 2.18.0
|
| 48 |
+
- Tokenizers 0.19.1
|
generation_config.json
CHANGED
|
@@ -4,5 +4,5 @@
|
|
| 4 |
"decoder_start_token_id": 2,
|
| 5 |
"eos_token_id": 2,
|
| 6 |
"pad_token_id": 1,
|
| 7 |
-
"transformers_version": "4.
|
| 8 |
}
|
|
|
|
| 4 |
"decoder_start_token_id": 2,
|
| 5 |
"eos_token_id": 2,
|
| 6 |
"pad_token_id": 1,
|
| 7 |
+
"transformers_version": "4.40.1"
|
| 8 |
}
|