Model save
Browse files- README.md +74 -0
- pytorch_model.bin +1 -1
README.md
ADDED
|
@@ -0,0 +1,74 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: VuongQuoc/checkpoints_30_9_microsoft_deberta_V1.0_384
|
| 3 |
+
tags:
|
| 4 |
+
- generated_from_trainer
|
| 5 |
+
metrics:
|
| 6 |
+
- accuracy
|
| 7 |
+
model-index:
|
| 8 |
+
- name: checkpoints_10_1_microsoft_deberta_V1.1_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 |
+
# checkpoints_10_1_microsoft_deberta_V1.1_384
|
| 16 |
+
|
| 17 |
+
This model is a fine-tuned version of [VuongQuoc/checkpoints_30_9_microsoft_deberta_V1.0_384](https://huggingface.co/VuongQuoc/checkpoints_30_9_microsoft_deberta_V1.0_384) on the None dataset.
|
| 18 |
+
It achieves the following results on the evaluation set:
|
| 19 |
+
- Loss: 0.7675
|
| 20 |
+
- Map@3: 0.8483
|
| 21 |
+
- Accuracy: 0.755
|
| 22 |
+
|
| 23 |
+
## Model description
|
| 24 |
+
|
| 25 |
+
More information needed
|
| 26 |
+
|
| 27 |
+
## Intended uses & limitations
|
| 28 |
+
|
| 29 |
+
More information needed
|
| 30 |
+
|
| 31 |
+
## Training and evaluation data
|
| 32 |
+
|
| 33 |
+
More information needed
|
| 34 |
+
|
| 35 |
+
## Training procedure
|
| 36 |
+
|
| 37 |
+
### Training hyperparameters
|
| 38 |
+
|
| 39 |
+
The following hyperparameters were used during training:
|
| 40 |
+
- learning_rate: 2e-06
|
| 41 |
+
- train_batch_size: 2
|
| 42 |
+
- eval_batch_size: 4
|
| 43 |
+
- seed: 42
|
| 44 |
+
- gradient_accumulation_steps: 16
|
| 45 |
+
- total_train_batch_size: 32
|
| 46 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 47 |
+
- lr_scheduler_type: cosine
|
| 48 |
+
- lr_scheduler_warmup_ratio: 0.1
|
| 49 |
+
- training_steps: 1200
|
| 50 |
+
|
| 51 |
+
### Training results
|
| 52 |
+
|
| 53 |
+
| Training Loss | Epoch | Step | Validation Loss | Map@3 | Accuracy |
|
| 54 |
+
|:-------------:|:-----:|:----:|:---------------:|:------:|:--------:|
|
| 55 |
+
| 1.5583 | 0.05 | 100 | 1.4269 | 0.7675 | 0.65 |
|
| 56 |
+
| 1.1541 | 0.11 | 200 | 1.0863 | 0.765 | 0.66 |
|
| 57 |
+
| 1.0126 | 0.16 | 300 | 0.9547 | 0.8133 | 0.72 |
|
| 58 |
+
| 0.9608 | 0.21 | 400 | 0.8926 | 0.8275 | 0.74 |
|
| 59 |
+
| 0.9224 | 0.27 | 500 | 0.8429 | 0.8400 | 0.76 |
|
| 60 |
+
| 0.8834 | 0.32 | 600 | 0.8297 | 0.8342 | 0.745 |
|
| 61 |
+
| 0.8585 | 0.37 | 700 | 0.7904 | 0.8483 | 0.76 |
|
| 62 |
+
| 0.8491 | 0.43 | 800 | 0.7726 | 0.8542 | 0.765 |
|
| 63 |
+
| 0.878 | 0.48 | 900 | 0.7693 | 0.8517 | 0.755 |
|
| 64 |
+
| 0.8529 | 0.53 | 1000 | 0.7703 | 0.8450 | 0.75 |
|
| 65 |
+
| 0.8485 | 0.59 | 1100 | 0.7682 | 0.8483 | 0.755 |
|
| 66 |
+
| 0.8353 | 0.64 | 1200 | 0.7675 | 0.8483 | 0.755 |
|
| 67 |
+
|
| 68 |
+
|
| 69 |
+
### Framework versions
|
| 70 |
+
|
| 71 |
+
- Transformers 4.32.1
|
| 72 |
+
- Pytorch 2.0.0
|
| 73 |
+
- Datasets 2.9.0
|
| 74 |
+
- Tokenizers 0.13.3
|
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1740387701
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9ab4421f27732217a59f44a73c96119c0f84b36c63170a6ec179d4d4fcced1a8
|
| 3 |
size 1740387701
|