Pushing deberta-v3-large-offensive to hub
Browse files- README.md +98 -0
- added_tokens.json +3 -0
- all_results.json +14 -0
- config.json +43 -0
- eval_results.json +8 -0
- pytorch_model.bin +3 -0
- run_test.sh +1 -0
- run_train.sh +1 -0
- special_tokens_map.json +9 -0
- spm.model +3 -0
- test_results.json +8 -0
- tokenizer.json +0 -0
- tokenizer_config.json +16 -0
- trainer_state.json +580 -0
- training_args.bin +3 -0
README.md
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---
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license: mit
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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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model-index:
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- name: deberta-v3-large-offensive-lr7e-6-gas2-ls0.0
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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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# deberta-v3-large-offensive-lr7e-6-gas2-ls0.0
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This model is a fine-tuned version of [microsoft/deberta-v3-large](https://huggingface.co/microsoft/deberta-v3-large) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.3326
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- Accuracy: 0.7832
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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: 7e-06
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- train_batch_size: 16
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- eval_batch_size: 16
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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: 50
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- num_epochs: 10.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 0.6417 | 0.27 | 100 | 0.6283 | 0.6533 |
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| 0.5105 | 0.54 | 200 | 0.4588 | 0.7915 |
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| 0.4554 | 0.81 | 300 | 0.4500 | 0.7968 |
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| 0.4212 | 1.08 | 400 | 0.4773 | 0.7938 |
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| 0.4054 | 1.34 | 500 | 0.4311 | 0.7983 |
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| 0.3922 | 1.61 | 600 | 0.4588 | 0.7998 |
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| 0.3776 | 1.88 | 700 | 0.4367 | 0.8066 |
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| 0.3535 | 2.15 | 800 | 0.4675 | 0.8074 |
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| 0.33 | 2.42 | 900 | 0.4874 | 0.8021 |
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| 0.3113 | 2.69 | 1000 | 0.4949 | 0.8044 |
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| 0.3203 | 2.96 | 1100 | 0.4550 | 0.8059 |
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| 0.248 | 3.23 | 1200 | 0.4858 | 0.8036 |
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| 0.2478 | 3.49 | 1300 | 0.5299 | 0.8029 |
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| 0.2371 | 3.76 | 1400 | 0.5013 | 0.7991 |
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| 0.2388 | 4.03 | 1500 | 0.5520 | 0.8021 |
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| 0.1744 | 4.3 | 1600 | 0.6687 | 0.7915 |
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| 0.1788 | 4.57 | 1700 | 0.7560 | 0.7689 |
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| 0.1652 | 4.84 | 1800 | 0.6985 | 0.7832 |
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| 0.1596 | 5.11 | 1900 | 0.7191 | 0.7915 |
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| 0.1214 | 5.38 | 2000 | 0.9097 | 0.7893 |
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| 0.1432 | 5.64 | 2100 | 0.9184 | 0.7787 |
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| 0.1145 | 5.91 | 2200 | 0.9620 | 0.7878 |
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| 0.1069 | 6.18 | 2300 | 0.9489 | 0.7893 |
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| 0.1012 | 6.45 | 2400 | 1.0107 | 0.7817 |
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| 0.0942 | 6.72 | 2500 | 1.0021 | 0.7885 |
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| 0.087 | 6.99 | 2600 | 1.1090 | 0.7915 |
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| 0.0598 | 7.26 | 2700 | 1.1735 | 0.7795 |
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| 0.0742 | 7.53 | 2800 | 1.1433 | 0.7817 |
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| 0.073 | 7.79 | 2900 | 1.1343 | 0.7953 |
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| 0.0553 | 8.06 | 3000 | 1.2258 | 0.7840 |
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| 0.0474 | 8.33 | 3100 | 1.2461 | 0.7817 |
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| 0.0515 | 8.6 | 3200 | 1.2996 | 0.7825 |
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| 0.0551 | 8.87 | 3300 | 1.2819 | 0.7855 |
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| 0.0541 | 9.14 | 3400 | 1.2808 | 0.7855 |
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| 0.0465 | 9.41 | 3500 | 1.3398 | 0.7817 |
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| 0.0407 | 9.68 | 3600 | 1.3231 | 0.7825 |
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| 0.0343 | 9.94 | 3700 | 1.3330 | 0.7825 |
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### Framework versions
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- Transformers 4.20.0.dev0
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- Pytorch 1.9.0
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- Datasets 2.2.2
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- Tokenizers 0.11.6
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added_tokens.json
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{
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"[MASK]": 128000
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}
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all_results.json
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{
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"epoch": 10.0,
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"eval_accuracy": 0.7832326292991638,
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"eval_loss": 1.3326470851898193,
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"eval_runtime": 8.5044,
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"eval_samples": 1324,
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"eval_samples_per_second": 155.684,
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"eval_steps_per_second": 9.76,
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"train_loss": 0.20273424893297176,
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"train_runtime": 2723.3449,
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"train_samples": 11916,
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"train_samples_per_second": 43.755,
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"train_steps_per_second": 1.366
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}
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config.json
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{
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"_name_or_path": "microsoft/deberta-v3-large",
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"architectures": [
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"DebertaV2ForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 1024,
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"id2label": {
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"0": 0,
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"1": 1
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},
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"initializer_range": 0.02,
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"intermediate_size": 4096,
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"label2id": {
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"0": 0,
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"1": 1
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},
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"layer_norm_eps": 1e-07,
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"max_position_embeddings": 512,
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"max_relative_positions": -1,
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"model_type": "deberta-v2",
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"norm_rel_ebd": "layer_norm",
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"num_attention_heads": 16,
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"num_hidden_layers": 24,
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"pad_token_id": 0,
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"pooler_dropout": 0,
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"pooler_hidden_act": "gelu",
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"pooler_hidden_size": 1024,
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"pos_att_type": [
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"p2c",
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"c2p"
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],
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"position_biased_input": false,
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"position_buckets": 256,
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"relative_attention": true,
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"share_att_key": true,
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"torch_dtype": "float32",
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"transformers_version": "4.20.0.dev0",
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"type_vocab_size": 0,
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"vocab_size": 128100
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}
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eval_results.json
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{
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"eval_accuracy": 0.8074018359184265,
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"eval_loss": 0.4674627184867859,
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"eval_runtime": 8.969,
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"eval_samples": 1324,
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"eval_samples_per_second": 147.62,
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"eval_steps_per_second": 9.254
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:6f7ba2e4b0f924fa51337948a3738d07bae7c09a72d54b9823fe22979c01793c
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size 1740393387
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run_test.sh
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jbsub -queue x86_1h -cores 4+1 -mem 30g -require a100 -o outputs/train/tweet_eval2/offensive/deberta-v3-large-offensive-lr7e-6-gas2-ls0.0/test.log /dccstor/tslm/envs/anaconda3/envs/tslm-gen/bin/python train_clf.py --model_name_or_path outputs/train/tweet_eval2/offensive/deberta-v3-large-offensive-lr7e-6-gas2-ls0.0/best_checkpoint --train_file data/tweet_eval/offensive/train.csv --validation_file data/tweet_eval/offensive/validation.csv --test_file data/tweet_eval/offensive/test.csv --do_eval --do_predict --report_to none --per_device_eval_batch_size 16 --max_seq_length 256 --output_dir outputs/train/tweet_eval2/offensive/deberta-v3-large-offensive-lr7e-6-gas2-ls0.0/best_checkpoint
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run_train.sh
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jbsub -queue x86_6h -cores 4+1 -mem 30g -require a100 -o outputs/train/tweet_eval2/offensive/deberta-v3-large-offensive-lr7e-6-gas2-ls0.0/train.log /dccstor/tslm/envs/anaconda3/envs/tslm-gen/bin/python train_clf.py --model_name_or_path microsoft/deberta-v3-large --train_file data/tweet_eval/offensive/train.csv --validation_file data/tweet_eval/offensive/validation.csv --do_train --do_eval --per_device_train_batch_size 16 --per_device_eval_batch_size 16 --max_seq_length 256 --learning_rate 7e-6 --output_dir outputs/train/tweet_eval2/offensive/deberta-v3-large-offensive-lr7e-6-gas2-ls0.0 --evaluation_strategy steps --save_strategy no --warmup_steps 50 --num_train_epochs 10 --overwrite_output_dir --logging_steps 100 --gradient_accumulation_steps 2 --label_smoothing_factor 0.0 --report_to clearml --metric_for_best_model accuracy --logging_dir outputs/train/tweet_eval2/offensive/deberta-v3-large-offensive-lr7e-6-gas2-ls0.0/tb \; rm -rf outputs/train/tweet_eval2/offensive/deberta-v3-large-offensive-lr7e-6-gas2-ls0.0/tb \; rm -rf outputs/train/tweet_eval2/offensive/deberta-v3-large-offensive-lr7e-6-gas2-ls0.0/checkpoint-* \; . outputs/train/tweet_eval2/offensive/deberta-v3-large-offensive-lr7e-6-gas2-ls0.0/run_test.sh
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special_tokens_map.json
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{
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"bos_token": "[CLS]",
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"cls_token": "[CLS]",
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"eos_token": "[SEP]",
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"mask_token": "[MASK]",
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"unk_token": "[UNK]"
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}
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spm.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:c679fbf93643d19aab7ee10c0b99e460bdbc02fedf34b92b05af343b4af586fd
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size 2464616
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test_results.json
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{
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"eval_accuracy": 0.8639534711837769,
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"eval_loss": 0.37321123480796814,
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"eval_runtime": 5.5359,
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"eval_samples_per_second": 155.35,
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"eval_steps_per_second": 9.755,
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"test_samples": 860
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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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"bos_token": "[CLS]",
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"cls_token": "[CLS]",
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"do_lower_case": false,
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"eos_token": "[SEP]",
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"mask_token": "[MASK]",
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"name_or_path": "microsoft/deberta-v3-large",
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"sp_model_kwargs": {},
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"special_tokens_map_file": null,
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"split_by_punct": false,
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"tokenizer_class": "DebertaV2Tokenizer",
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"unk_token": "[UNK]",
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"vocab_type": "spm"
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| 16 |
+
}
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trainer_state.json
ADDED
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@@ -0,0 +1,580 @@
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|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:5cc77104332f69dc549c57f14823a63d375c1c4d1f379593a8844dd532412c90
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| 3 |
+
size 3375
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