End of training
Browse files- README.md +77 -0
- generation_config.json +7 -0
- model.safetensors +1 -1
README.md
ADDED
|
@@ -0,0 +1,77 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: microsoft/codebert-base
|
| 3 |
+
tags:
|
| 4 |
+
- generated_from_trainer
|
| 5 |
+
model-index:
|
| 6 |
+
- name: CodeBertForCodeSummary
|
| 7 |
+
results: []
|
| 8 |
+
---
|
| 9 |
+
|
| 10 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 11 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 12 |
+
|
| 13 |
+
# CodeBertForCodeSummary
|
| 14 |
+
|
| 15 |
+
This model is a fine-tuned version of [microsoft/codebert-base](https://huggingface.co/microsoft/codebert-base) on an unknown dataset.
|
| 16 |
+
It achieves the following results on the evaluation set:
|
| 17 |
+
- Loss: 1.3533
|
| 18 |
+
|
| 19 |
+
## Model description
|
| 20 |
+
|
| 21 |
+
More information needed
|
| 22 |
+
|
| 23 |
+
## Intended uses & limitations
|
| 24 |
+
|
| 25 |
+
More information needed
|
| 26 |
+
|
| 27 |
+
## Training and evaluation data
|
| 28 |
+
|
| 29 |
+
More information needed
|
| 30 |
+
|
| 31 |
+
## Training procedure
|
| 32 |
+
|
| 33 |
+
### Training hyperparameters
|
| 34 |
+
|
| 35 |
+
The following hyperparameters were used during training:
|
| 36 |
+
- learning_rate: 5e-05
|
| 37 |
+
- train_batch_size: 16
|
| 38 |
+
- eval_batch_size: 16
|
| 39 |
+
- seed: 42
|
| 40 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 41 |
+
- lr_scheduler_type: linear
|
| 42 |
+
- lr_scheduler_warmup_steps: 14400.0
|
| 43 |
+
- num_epochs: 20
|
| 44 |
+
- mixed_precision_training: Native AMP
|
| 45 |
+
|
| 46 |
+
### Training results
|
| 47 |
+
|
| 48 |
+
| Training Loss | Epoch | Step | Validation Loss |
|
| 49 |
+
|:-------------:|:-----:|:-----:|:---------------:|
|
| 50 |
+
| 5.051 | 1.0 | 750 | 4.6658 |
|
| 51 |
+
| 3.7963 | 2.0 | 1500 | 3.6102 |
|
| 52 |
+
| 3.2207 | 3.0 | 2250 | 2.9757 |
|
| 53 |
+
| 2.7558 | 4.0 | 3000 | 2.5950 |
|
| 54 |
+
| 2.4409 | 5.0 | 3750 | 2.3054 |
|
| 55 |
+
| 2.188 | 6.0 | 4500 | 2.0653 |
|
| 56 |
+
| 1.9616 | 7.0 | 5250 | 1.8439 |
|
| 57 |
+
| 1.7515 | 8.0 | 6000 | 1.6953 |
|
| 58 |
+
| 1.6408 | 9.0 | 6750 | 1.5872 |
|
| 59 |
+
| 1.4843 | 10.0 | 7500 | 1.5153 |
|
| 60 |
+
| 1.4453 | 11.0 | 8250 | 1.4662 |
|
| 61 |
+
| 1.3443 | 12.0 | 9000 | 1.4222 |
|
| 62 |
+
| 1.2826 | 13.0 | 9750 | 1.3990 |
|
| 63 |
+
| 1.2005 | 14.0 | 10500 | 1.3829 |
|
| 64 |
+
| 1.1559 | 15.0 | 11250 | 1.3678 |
|
| 65 |
+
| 1.0938 | 16.0 | 12000 | 1.3504 |
|
| 66 |
+
| 1.0285 | 17.0 | 12750 | 1.3493 |
|
| 67 |
+
| 0.9802 | 18.0 | 13500 | 1.3568 |
|
| 68 |
+
| 0.9333 | 19.0 | 14250 | 1.3549 |
|
| 69 |
+
| 0.8453 | 20.0 | 15000 | 1.3533 |
|
| 70 |
+
|
| 71 |
+
|
| 72 |
+
### Framework versions
|
| 73 |
+
|
| 74 |
+
- Transformers 4.37.2
|
| 75 |
+
- Pytorch 2.1.2+cu121
|
| 76 |
+
- Datasets 2.15.0
|
| 77 |
+
- Tokenizers 0.15.0
|
generation_config.json
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_from_model_config": true,
|
| 3 |
+
"bos_token_id": 0,
|
| 4 |
+
"eos_token_id": 2,
|
| 5 |
+
"pad_token_id": 1,
|
| 6 |
+
"transformers_version": "4.37.2"
|
| 7 |
+
}
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 498826252
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:079672c400357f8ce023c15793fbd3ac16c55d71000f269195d7d7dbcadd4e7c
|
| 3 |
size 498826252
|