BramVanroy
commited on
Commit
•
f6610a3
1
Parent(s):
96d8623
hpc model
Browse files- README.md +83 -31
- all_results.json +12 -0
- args.json +134 -0
- config.json +1 -1
- env.json +10 -0
- fig/test_confusion_matrix.eps +0 -0
- fig/test_confusion_matrix.png +0 -0
- fig/test_confusion_matrix_norm.eps +0 -0
- fig/test_confusion_matrix_norm.png +0 -0
- pytorch_model.bin +1 -1
- test_predictions.txt +3 -0
- test_results.json +7 -0
- tokenizer_config.json +1 -1
- train_results.json +7 -0
- trainer_state.json +144 -386
- training_args.bin +1 -1
README.md
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---
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language:
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- nl
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license: mit
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tags:
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- sentiment-analysis
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- dutch
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- text
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datasets:
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- BramVanroy/hebban-reviews
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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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widget:
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- text: "Wauw, wat een leuk boek! Ik heb me er er goed mee vermaakt."
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- text: "Nee, deze vond ik niet goed. De auteur doet zijn best om je als lezer mee te trekken in het verhaal maar mij overtuigt het alleszins niet."
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- text: "Ik vind het niet slecht maar de schrijfstijl trekt me ook niet echt aan. Het wordt een beetje saai vanaf het vijfde hoofdstuk"
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-
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model-index:
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- name: bert-base-dutch-cased-hebban-reviews
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results:
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-
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name:
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type: BramVanroy/hebban-reviews
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name: Hebban Reviews
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split: test
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metrics:
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---
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+
datasets:
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- BramVanroy/hebban-reviews
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language:
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- nl
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license: mit
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metrics:
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- accuracy
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- f1
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- precision
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- qwk
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- recall
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model-index:
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- name: bert-base-dutch-cased-hebban-reviews
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results:
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- dataset:
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config: filtered_sentiment
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name: BramVanroy/hebban-reviews - filtered_sentiment - 2.0.0
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revision: 2.0.0
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split: test
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type: BramVanroy/hebban-reviews
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metrics:
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- name: Test accuracy
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type: accuracy
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value: 0.8042406311637081
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- name: Test f1
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type: f1
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value: 0.8125977499178383
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- name: Test precision
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type: precision
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value: 0.8283602308368182
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- name: Test qwk
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type: qwk
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value: 0.7301452890386257
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- name: Test recall
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type: recall
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value: 0.8042406311637081
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tags:
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- sentiment-analysis
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- dutch
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- text
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widget:
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- text: Wauw, wat een leuk boek! Ik heb me er er goed mee vermaakt.
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- text: Nee, deze vond ik niet goed. De auteur doet zijn best om je als lezer mee
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te trekken in het verhaal maar mij overtuigt het alleszins niet.
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- text: Ik vind het niet slecht maar de schrijfstijl trekt me ook niet echt aan. Het
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wordt een beetje saai vanaf het vijfde hoofdstuk
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---
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# bert-base-dutch-cased-hebban-reviews
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# Dataset
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- dataset_name: BramVanroy/hebban-reviews
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- dataset_config: filtered_sentiment
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- dataset_revision: 2.0.0
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- labelcolumn: review_sentiment
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- textcolumn: review_text_without_quotes
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# Training
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- optim: adamw_hf
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- learning_rate: 5e-05
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- per_device_train_batch_size: 64
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- per_device_eval_batch_size: 64
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- gradient_accumulation_steps: 1
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- max_steps: 5001
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- save_steps: 500
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- metric_for_best_model: qwk
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# Best checkedpoint based on validation
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- best_metric: 0.732569302631819
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- best_model_checkpoint: trained/hebban-reviews/bert-base-dutch-cased/checkpoint-3000
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# Test results of best checkpoint
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- accuracy: 0.8042406311637081
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- f1: 0.8125977499178383
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- precision: 0.8283602308368182
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- qwk: 0.7301452890386257
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- recall: 0.8042406311637081
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## Confusion matric
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![cfm](fig/test_confusion_matrix.png)
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## Normalized confusion matrix
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![norm cfm](fig/test_confusion_matrix_norm.png)
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# Environment
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- cuda_capabilities: 8.0; 8.0
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- cuda_device_count: 2
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- cuda_devices: NVIDIA A100-SXM4-80GB; NVIDIA A100-SXM4-80GB
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- finetuner_commit: 48bb3434fa8bbfc9b2d0061ca6c8feb87f78a7ef
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- platform: Linux-4.18.0-305.49.1.el8_4.x86_64-x86_64-with-glibc2.28
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- python_version: 3.9.5
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- toch_version: 1.10.0
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- transformers_version: 4.21.0
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all_results.json
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{
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"accuracy": 0.8042406311637081,
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"epoch": 4.38,
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"f1": 0.8125977499178383,
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"precision": 0.8283602308368182,
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"qwk": 0.7301452890386257,
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"recall": 0.8042406311637081,
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"train_loss": 0.3670836862052257,
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"train_runtime": 2628.6927,
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"train_samples_per_second": 243.516,
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"train_steps_per_second": 1.902
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}
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args.json
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{
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"_n_gpu": 1,
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"adafactor": false,
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"adam_beta1": 0.9,
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"adam_beta2": 0.999,
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"adam_epsilon": 1e-08,
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"auto_find_batch_size": false,
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"bf16": false,
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"bf16_full_eval": false,
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"calculate_qwk": true,
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"data_seed": 42,
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"dataloader_drop_last": false,
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"dataloader_num_workers": 0,
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"dataloader_pin_memory": true,
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"dataset_config": "filtered_sentiment",
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"dataset_name": "BramVanroy/hebban-reviews",
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"dataset_revision": "2.0.0",
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"ddp_bucket_cap_mb": null,
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"ddp_find_unused_parameters": null,
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"debug": [],
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"deepspeed": null,
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"disable_tqdm": false,
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"do_early_stopping": false,
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"do_eval": true,
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"do_optimize": false,
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"do_predict": true,
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"do_train": true,
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"early_stopping_patience": 1,
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"early_stopping_threshold": 0.0,
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"eval_accumulation_steps": null,
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"eval_delay": 0,
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"eval_steps": 500,
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"evaluation_strategy": "steps",
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"fp16": true,
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"fp16_backend": "auto",
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"fp16_full_eval": false,
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"fp16_opt_level": "O1",
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"fsdp": [],
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"fsdp_min_num_params": 0,
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"fsdp_transformer_layer_cls_to_wrap": null,
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"full_determinism": false,
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"gradient_accumulation_steps": 1,
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"gradient_checkpointing": false,
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"greater_is_better": true,
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"group_by_length": false,
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"half_precision_backend": "cuda_amp",
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"hub_model_id": null,
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"hub_private_repo": false,
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"hub_strategy": "every_save",
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"hub_token": null,
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"ignore_data_skip": false,
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"include_inputs_for_metrics": false,
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"jit_mode_eval": false,
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"label_names": null,
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"label_smoothing_factor": 0.0,
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"labelcolumn": "review_sentiment",
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"labelnames": [
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"negative",
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"neutral",
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"positive"
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],
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"learning_rate": 5e-05,
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"length_column_name": "length",
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"load_best_model_at_end": true,
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"local_rank": 0,
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"log_level": -1,
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"log_level_replica": -1,
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"log_on_each_node": true,
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"logging_dir": "trained/hebban-reviews/bert-base-dutch-cased/runs/Jul28_16-04-25_node3900.accelgor.os",
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"logging_first_step": false,
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"logging_nan_inf_filter": true,
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"logging_steps": 500,
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"logging_strategy": "steps",
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"lr_scheduler_type": "linear",
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"max_grad_norm": 1.0,
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"max_seq_length": null,
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"max_steps": 5001,
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"max_test_samples": null,
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"max_train_samples": null,
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"max_validation_samples": null,
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"metric_for_best_model": "qwk",
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"model_name_or_path": "GroNLP/bert-base-dutch-cased",
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"model_revision": "main",
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"mp_parameters": "",
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"n_trials": 8,
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"no_cuda": false,
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"num_train_epochs": 3.0,
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"optim": "adamw_hf",
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"output_dir": "trained/hebban-reviews/bert-base-dutch-cased",
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"overwrite_cache": false,
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"overwrite_output_dir": true,
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"past_index": -1,
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"per_device_eval_batch_size": 64,
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"per_device_train_batch_size": 64,
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"per_gpu_eval_batch_size": null,
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"per_gpu_train_batch_size": null,
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"prediction_loss_only": false,
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"push_to_hub": false,
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"push_to_hub_model_id": null,
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"push_to_hub_organization": null,
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"push_to_hub_token": null,
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"ray_scope": "all",
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"remove_unused_columns": true,
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"report_to": [
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"tensorboard"
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],
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"resume_from_checkpoint": null,
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"run_name": "trained/hebban-reviews/bert-base-dutch-cased",
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"save_on_each_node": false,
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"save_steps": 500,
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"save_strategy": "steps",
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"save_total_limit": null,
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"scheduler_type": null,
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"seed": 42,
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"sharded_ddp": [],
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"skip_memory_metrics": true,
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"split_seed": 42,
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"testsplit_name": "test",
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"textcolumn": "review_text_without_quotes",
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"tf32": null,
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"torchdynamo": null,
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"tpu_metrics_debug": false,
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"tpu_num_cores": null,
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"trainsplit_name": "train",
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"use_class_weights": true,
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"use_ipex": false,
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"use_legacy_prediction_loop": false,
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"validation_size": 0.1,
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"validationsplit_name": "validation",
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"warmup_ratio": 0.0,
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"warmup_steps": 0,
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"weight_decay": 0.0,
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"xpu_backend": null
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}
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config.json
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"pad_token_id": 3,
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"position_embedding_type": "absolute",
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"torch_dtype": "float32",
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"transformers_version": "4.21.0
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 30073
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"pad_token_id": 3,
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"position_embedding_type": "absolute",
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"torch_dtype": "float32",
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"transformers_version": "4.21.0",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 30073
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env.json
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{
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"cuda_capabilities": "8.0; 8.0",
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"cuda_device_count": 2,
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"cuda_devices": "NVIDIA A100-SXM4-80GB; NVIDIA A100-SXM4-80GB",
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"finetuner_commit": "48bb3434fa8bbfc9b2d0061ca6c8feb87f78a7ef",
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"platform": "Linux-4.18.0-305.49.1.el8_4.x86_64-x86_64-with-glibc2.28",
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"python_version": "3.9.5",
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"toch_version": "1.10.0",
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"transformers_version": "4.21.0"
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