Model save
Browse files
README.md
ADDED
|
@@ -0,0 +1,75 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
library_name: transformers
|
| 3 |
+
base_model: gokulsrinivasagan/bert_base_lda_5_v1
|
| 4 |
+
tags:
|
| 5 |
+
- generated_from_trainer
|
| 6 |
+
metrics:
|
| 7 |
+
- accuracy
|
| 8 |
+
model-index:
|
| 9 |
+
- name: bert_base_lda_5_v1_rte
|
| 10 |
+
results: []
|
| 11 |
+
---
|
| 12 |
+
|
| 13 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 14 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 15 |
+
|
| 16 |
+
# bert_base_lda_5_v1_rte
|
| 17 |
+
|
| 18 |
+
This model is a fine-tuned version of [gokulsrinivasagan/bert_base_lda_5_v1](https://huggingface.co/gokulsrinivasagan/bert_base_lda_5_v1) on an unknown dataset.
|
| 19 |
+
It achieves the following results on the evaluation set:
|
| 20 |
+
- Loss: 0.6943
|
| 21 |
+
- Accuracy: 0.5199
|
| 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: 0.001
|
| 41 |
+
- train_batch_size: 256
|
| 42 |
+
- eval_batch_size: 256
|
| 43 |
+
- seed: 10
|
| 44 |
+
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
|
| 45 |
+
- lr_scheduler_type: linear
|
| 46 |
+
- num_epochs: 50
|
| 47 |
+
|
| 48 |
+
### Training results
|
| 49 |
+
|
| 50 |
+
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
| 51 |
+
|:-------------:|:-----:|:----:|:---------------:|:--------:|
|
| 52 |
+
| 1.0506 | 1.0 | 10 | 0.7787 | 0.5271 |
|
| 53 |
+
| 0.7306 | 2.0 | 20 | 0.8054 | 0.4729 |
|
| 54 |
+
| 0.7253 | 3.0 | 30 | 0.6984 | 0.5235 |
|
| 55 |
+
| 0.7014 | 4.0 | 40 | 0.6923 | 0.5271 |
|
| 56 |
+
| 0.7016 | 5.0 | 50 | 0.7043 | 0.5199 |
|
| 57 |
+
| 0.6998 | 6.0 | 60 | 0.6968 | 0.4729 |
|
| 58 |
+
| 0.6943 | 7.0 | 70 | 0.6938 | 0.5199 |
|
| 59 |
+
| 0.6937 | 8.0 | 80 | 0.6958 | 0.4729 |
|
| 60 |
+
| 0.6962 | 9.0 | 90 | 0.6922 | 0.4801 |
|
| 61 |
+
| 0.6955 | 10.0 | 100 | 0.6963 | 0.4729 |
|
| 62 |
+
| 0.6948 | 11.0 | 110 | 0.6918 | 0.5271 |
|
| 63 |
+
| 0.6931 | 12.0 | 120 | 0.6938 | 0.5199 |
|
| 64 |
+
| 0.6932 | 13.0 | 130 | 0.6948 | 0.4729 |
|
| 65 |
+
| 0.6934 | 14.0 | 140 | 0.6922 | 0.4729 |
|
| 66 |
+
| 0.6933 | 15.0 | 150 | 0.6936 | 0.4729 |
|
| 67 |
+
| 0.6933 | 16.0 | 160 | 0.6943 | 0.5199 |
|
| 68 |
+
|
| 69 |
+
|
| 70 |
+
### Framework versions
|
| 71 |
+
|
| 72 |
+
- Transformers 4.46.3
|
| 73 |
+
- Pytorch 2.2.1+cu118
|
| 74 |
+
- Datasets 2.17.0
|
| 75 |
+
- Tokenizers 0.20.3
|
logs/events.out.tfevents.1732646361.ki-g0008.2136607.8
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c41ddbbe40cca4146ccd39048a6a737c9c53a04dca3fc610ba1c2659136b387e
|
| 3 |
+
size 13854
|