Training complete 20240728
Browse files- README.md +86 -0
- added_tokens.json +3 -0
- config.json +458 -12
- model.safetensors +2 -2
- runs/Jul28_17-12-48_b976d5774f8c/events.out.tfevents.1722186779.b976d5774f8c.42849.0 +3 -0
- runs/Jul28_17-31-32_0094becad88b/events.out.tfevents.1722187895.0094becad88b.2176.0 +3 -0
- runs/Jul28_18-02-45_0094becad88b/events.out.tfevents.1722189766.0094becad88b.2176.1 +3 -0
- runs/Jul28_18-03-06_0094becad88b/events.out.tfevents.1722189788.0094becad88b.2176.2 +3 -0
- runs/Jul28_18-33-32_c790c1b86ab6/events.out.tfevents.1722191614.c790c1b86ab6.1250.0 +3 -0
- runs/Jul28_18-33-32_c790c1b86ab6/events.out.tfevents.1722199123.c790c1b86ab6.1250.1 +3 -0
- special_tokens_map.json +7 -43
- spm.model +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +8 -9
- training_args.bin +2 -2
README.md
ADDED
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| 1 |
+
---
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| 2 |
+
license: mit
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| 3 |
+
base_model: microsoft/deberta-v3-base
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| 4 |
+
tags:
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| 5 |
+
- multi-label text classification
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| 6 |
+
- generated_from_trainer
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| 7 |
+
metrics:
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| 8 |
+
- accuracy
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| 9 |
+
- f1
|
| 10 |
+
- precision
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| 11 |
+
- recall
|
| 12 |
+
model-index:
|
| 13 |
+
- name: deberta_classifier
|
| 14 |
+
results: []
|
| 15 |
+
---
|
| 16 |
+
|
| 17 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 18 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 19 |
+
|
| 20 |
+
# deberta_classifier
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| 21 |
+
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| 22 |
+
This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) on an unknown dataset.
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| 23 |
+
It achieves the following results on the evaluation set:
|
| 24 |
+
- Loss: 0.0183
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| 25 |
+
- Accuracy: 0.9955
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| 26 |
+
- F1: 0.6062
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| 27 |
+
- Precision: 0.8225
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| 28 |
+
- Recall: 0.4799
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| 29 |
+
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| 30 |
+
## Model description
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| 31 |
+
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| 32 |
+
More information needed
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| 33 |
+
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| 34 |
+
## Intended uses & limitations
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| 35 |
+
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| 36 |
+
More information needed
|
| 37 |
+
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| 38 |
+
## Training and evaluation data
|
| 39 |
+
|
| 40 |
+
More information needed
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| 41 |
+
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| 42 |
+
## Training procedure
|
| 43 |
+
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| 44 |
+
### Training hyperparameters
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| 45 |
+
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| 46 |
+
The following hyperparameters were used during training:
|
| 47 |
+
- learning_rate: 2e-05
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| 48 |
+
- train_batch_size: 8
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| 49 |
+
- eval_batch_size: 8
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| 50 |
+
- seed: 42
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| 51 |
+
- gradient_accumulation_steps: 2
|
| 52 |
+
- total_train_batch_size: 16
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| 53 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 54 |
+
- lr_scheduler_type: linear
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| 55 |
+
- lr_scheduler_warmup_steps: 500
|
| 56 |
+
- num_epochs: 2
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| 57 |
+
|
| 58 |
+
### Training results
|
| 59 |
+
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| 60 |
+
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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| 61 |
+
|:-------------:|:------:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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| 62 |
+
| 0.6159 | 0.1169 | 100 | 0.5955 | 0.7621 | 0.0288 | 0.0148 | 0.4839 |
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| 63 |
+
| 0.3536 | 0.2338 | 200 | 0.3085 | 0.9753 | 0.1645 | 0.1091 | 0.3341 |
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| 64 |
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| 0.1166 | 0.3507 | 300 | 0.0917 | 0.9931 | 0.4124 | 0.5429 | 0.3325 |
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| 65 |
+
| 0.0456 | 0.4676 | 400 | 0.0375 | 0.9931 | 0.4124 | 0.5429 | 0.3325 |
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| 66 |
+
| 0.0308 | 0.5845 | 500 | 0.0270 | 0.9931 | 0.4124 | 0.5429 | 0.3325 |
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| 67 |
+
| 0.0249 | 0.7013 | 600 | 0.0234 | 0.9942 | 0.4459 | 0.7407 | 0.3189 |
|
| 68 |
+
| 0.0231 | 0.8182 | 700 | 0.0211 | 0.9953 | 0.5983 | 0.7970 | 0.4789 |
|
| 69 |
+
| 0.0213 | 0.9351 | 800 | 0.0196 | 0.9953 | 0.5989 | 0.7998 | 0.4787 |
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| 70 |
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| 0.0197 | 1.0520 | 900 | 0.0187 | 0.9954 | 0.6029 | 0.8168 | 0.4778 |
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| 71 |
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| 0.0205 | 1.1689 | 1000 | 0.0183 | 0.9955 | 0.6062 | 0.8225 | 0.4799 |
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| 72 |
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| 0.017 | 1.2858 | 1100 | 0.0175 | 0.9959 | 0.6610 | 0.8426 | 0.5437 |
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| 73 |
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| 0.018 | 1.4027 | 1200 | 0.0170 | 0.9960 | 0.6653 | 0.8685 | 0.5392 |
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| 74 |
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| 0.0177 | 1.5196 | 1300 | 0.0165 | 0.9961 | 0.6722 | 0.8732 | 0.5464 |
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| 75 |
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| 0.0189 | 1.6365 | 1400 | 0.0162 | 0.9962 | 0.6752 | 0.8910 | 0.5435 |
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| 76 |
+
| 0.0179 | 1.7534 | 1500 | 0.0159 | 0.9964 | 0.6898 | 0.9151 | 0.5535 |
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| 77 |
+
| 0.0169 | 1.8703 | 1600 | 0.0158 | 0.9964 | 0.6928 | 0.9030 | 0.5620 |
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| 78 |
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| 0.0172 | 1.9871 | 1700 | 0.0156 | 0.9964 | 0.6909 | 0.9130 | 0.5557 |
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| 79 |
+
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| 80 |
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| 81 |
+
### Framework versions
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| 82 |
+
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| 83 |
+
- Transformers 4.42.4
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| 84 |
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- Pytorch 2.3.1+cu121
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| 85 |
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- Datasets 2.20.0
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| 86 |
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- Tokenizers 0.19.1
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added_tokens.json
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| 1 |
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{
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"[MASK]": 128000
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}
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config.json
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| 1 |
{
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| 2 |
-
"_name_or_path": "microsoft/deberta-base",
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"architectures": [
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-
"
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| 5 |
],
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| 6 |
"attention_probs_dropout_prob": 0.1,
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| 7 |
"hidden_act": "gelu",
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| 8 |
"hidden_dropout_prob": 0.1,
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| 9 |
"hidden_size": 768,
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| 10 |
"id2label": {
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| 11 |
-
"0":
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"1":
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"2":
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| 14 |
},
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| 15 |
"initializer_range": 0.02,
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| 16 |
"intermediate_size": 3072,
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"label2id": {
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| 18 |
-
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-
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-
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| 21 |
},
|
| 22 |
"layer_norm_eps": 1e-07,
|
| 23 |
"max_position_embeddings": 512,
|
| 24 |
"max_relative_positions": -1,
|
| 25 |
-
"model_type": "deberta",
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|
| 26 |
"num_attention_heads": 12,
|
| 27 |
"num_hidden_layers": 12,
|
| 28 |
"pad_token_id": 0,
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|
@@ -30,13 +473,16 @@
|
|
| 30 |
"pooler_hidden_act": "gelu",
|
| 31 |
"pooler_hidden_size": 768,
|
| 32 |
"pos_att_type": [
|
| 33 |
-
"
|
| 34 |
-
"
|
| 35 |
],
|
| 36 |
"position_biased_input": false,
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
| 56 |
"unk_token": "[UNK]",
|
| 57 |
+
"vocab_type": "spm"
|
| 58 |
}
|
training_args.bin
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:b93f08cbdaaed19542be483b9b0c93a8a68c9cd930fd599513af2788c9c79c3b
|
| 3 |
+
size 5176
|