End of training
Browse files- README.md +98 -0
- config.json +38 -0
- merges.txt +0 -0
- model.safetensors +3 -0
- special_tokens_map.json +51 -0
- tokenizer.json +0 -0
- tokenizer_config.json +61 -0
- training_args.bin +3 -0
- vocab.json +0 -0
README.md
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---
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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- f1
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- precision
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- recall
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model-index:
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- name: Roberta-base-Rewritten-commit_messages_v1
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# Roberta-base-Rewritten-commit_messages_v1
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This model was trained from scratch on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 4.0366
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- Accuracy: 0.7334
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- F1: 0.7333
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- Precision: 0.7485
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- Recall: 0.7334
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 16
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- eval_batch_size: 64
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 32
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 500
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- num_epochs: 3
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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| 0.211 | 0.09 | 100 | 0.5038 | 0.7716 | 0.7710 | 0.7712 | 0.7716 |
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| 0.1021 | 0.17 | 200 | 1.4349 | 0.6967 | 0.6878 | 0.7575 | 0.6967 |
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| 0.21 | 0.26 | 300 | 1.6924 | 0.6772 | 0.6621 | 0.7604 | 0.6772 |
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| 0.3015 | 0.34 | 400 | 1.2524 | 0.7688 | 0.7689 | 0.7691 | 0.7688 |
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| 0.0545 | 0.43 | 500 | 0.6203 | 0.7967 | 0.7944 | 0.7996 | 0.7967 |
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| 0.2606 | 0.52 | 600 | 1.9708 | 0.7812 | 0.7816 | 0.7831 | 0.7812 |
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| 0.2303 | 0.6 | 700 | 4.2551 | 0.7003 | 0.6877 | 0.7822 | 0.7003 |
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| 0.3791 | 0.69 | 800 | 3.9563 | 0.6449 | 0.6287 | 0.7176 | 0.6449 |
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| 0.1818 | 0.77 | 900 | 3.2710 | 0.7413 | 0.7382 | 0.7798 | 0.7413 |
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| 0.2664 | 0.86 | 1000 | 3.1223 | 0.7541 | 0.7545 | 0.7637 | 0.7541 |
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| 0.0975 | 0.95 | 1100 | 4.2953 | 0.6628 | 0.6504 | 0.7279 | 0.6628 |
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| 0.0994 | 1.03 | 1200 | 3.0247 | 0.7577 | 0.7568 | 0.7808 | 0.7577 |
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| 0.0 | 1.12 | 1300 | 4.3038 | 0.7094 | 0.7048 | 0.7515 | 0.7094 |
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| 0.1308 | 1.2 | 1400 | 3.6026 | 0.7497 | 0.7502 | 0.7576 | 0.7497 |
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| 0.0518 | 1.29 | 1500 | 3.1581 | 0.7629 | 0.7634 | 0.7669 | 0.7629 |
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| 0.0444 | 1.38 | 1600 | 3.5891 | 0.7485 | 0.7481 | 0.7480 | 0.7485 |
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| 0.0904 | 1.46 | 1700 | 3.5088 | 0.7206 | 0.7162 | 0.7224 | 0.7206 |
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| 0.2481 | 1.55 | 1800 | 3.5703 | 0.7083 | 0.7077 | 0.7257 | 0.7083 |
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| 0.2444 | 1.63 | 1900 | 2.8876 | 0.7740 | 0.7688 | 0.7829 | 0.7740 |
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| 0.1379 | 1.72 | 2000 | 3.2268 | 0.7385 | 0.7336 | 0.7426 | 0.7385 |
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| 0.1244 | 1.81 | 2100 | 3.4375 | 0.7413 | 0.7417 | 0.7519 | 0.7413 |
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| 0.0826 | 1.89 | 2200 | 3.1960 | 0.7688 | 0.7689 | 0.7689 | 0.7688 |
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| 0.1172 | 1.98 | 2300 | 3.0243 | 0.7784 | 0.7784 | 0.7784 | 0.7784 |
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| 0.1066 | 2.06 | 2400 | 3.2134 | 0.7764 | 0.7769 | 0.7790 | 0.7764 |
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| 0.0 | 2.15 | 2500 | 3.3545 | 0.7664 | 0.7670 | 0.7694 | 0.7664 |
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| 0.1429 | 2.24 | 2600 | 3.7563 | 0.7393 | 0.7389 | 0.7574 | 0.7393 |
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| 0.0451 | 2.32 | 2700 | 3.4993 | 0.7537 | 0.7540 | 0.7548 | 0.7537 |
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| 0.0 | 2.41 | 2800 | 3.7249 | 0.7501 | 0.7504 | 0.7511 | 0.7501 |
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| 0.0273 | 2.49 | 2900 | 4.2791 | 0.7190 | 0.7175 | 0.7434 | 0.7190 |
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| 0.0789 | 2.58 | 3000 | 4.2166 | 0.7178 | 0.7161 | 0.7438 | 0.7178 |
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| 0.0527 | 2.67 | 3100 | 4.0366 | 0.7334 | 0.7333 | 0.7485 | 0.7334 |
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### Framework versions
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- Transformers 4.39.3
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- Pytorch 2.1.2+cu121
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- Datasets 2.16.1
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- Tokenizers 0.15.1
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config.json
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{
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"_name_or_path": "roberta-base_Rewritten_commit_messages_cplus_and_python_Performance_MLM/",
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"architectures": [
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"RobertaForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"bos_token_id": 0,
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"classifier_dropout": null,
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"eos_token_id": 2,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"id2label": {
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"0": "LABEL_0",
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"1": "LABEL_1",
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"2": "LABEL_2"
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"LABEL_0": 0,
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"LABEL_1": 1,
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"LABEL_2": 2
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},
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 514,
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"model_type": "roberta",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 1,
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"position_embedding_type": "absolute",
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"problem_type": "single_label_classification",
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"torch_dtype": "float32",
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"transformers_version": "4.39.3",
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"type_vocab_size": 1,
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"use_cache": true,
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"vocab_size": 50265
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}
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merges.txt
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:2349e85bfb3494c4882d1d59c7b7e399ff32eb33cd6c8823ac5d213cee205bc4
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size 498615900
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special_tokens_map.json
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{
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"bos_token": {
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"content": "<s>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"cls_token": {
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"content": "<s>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"eos_token": {
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"content": "</s>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"mask_token": {
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"content": "<mask>",
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"lstrip": true,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": {
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"content": "<pad>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"sep_token": {
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"content": "</s>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"unk_token": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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}
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}
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tokenizer.json
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tokenizer_config.json
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{
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"add_prefix_space": false,
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"added_tokens_decoder": {
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"0": {
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"content": "<s>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"1": {
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"content": "<pad>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"2": {
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"content": "</s>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"3": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"50264": {
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"content": "<mask>",
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"lstrip": true,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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}
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},
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"bos_token": "<s>",
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"clean_up_tokenization_spaces": true,
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"cls_token": "<s>",
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"eos_token": "</s>",
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"errors": "replace",
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"mask_token": "<mask>",
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"max_length": 512,
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"model_max_length": 512,
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"pad_token": "<pad>",
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"sep_token": "</s>",
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"stride": 0,
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"tokenizer_class": "RobertaTokenizer",
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"trim_offsets": true,
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"truncation_side": "right",
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"truncation_strategy": "longest_first",
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"unk_token": "<unk>"
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}
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:08c3a51cc9019c12218787218615ffc3bf2fa08457da8d19e663a1f17ac91df3
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size 4920
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vocab.json
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