End of training
Browse files- README.md +95 -0
- config.json +52 -0
- merges.txt +0 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +15 -0
- tokenizer.json +0 -0
- tokenizer_config.json +16 -0
- training_args.bin +3 -0
- vocab.json +0 -0
README.md
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---
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license: apache-2.0
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base_model: allenai/longformer-base-4096
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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: framing_classification_longformer_30_augmented
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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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# framing_classification_longformer_30_augmented
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This model is a fine-tuned version of [allenai/longformer-base-4096](https://huggingface.co/allenai/longformer-base-4096) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6496
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- Accuracy: 0.8751
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- F1: 0.9011
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- Precision: 0.8225
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- Recall: 0.9963
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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: 2e-05
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- train_batch_size: 1
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- eval_batch_size: 1
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- seed: 42
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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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- num_epochs: 30
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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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| 0.8842 | 1.0 | 7499 | 0.6496 | 0.8751 | 0.9011 | 0.8225 | 0.9963 |
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| 0.8986 | 2.0 | 14998 | 1.3833 | 0.5710 | 0.7269 | 0.5710 | 1.0 |
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| 1.4876 | 3.0 | 22497 | 1.5014 | 0.5710 | 0.7269 | 0.5710 | 1.0 |
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| 1.4259 | 4.0 | 29996 | 1.4886 | 0.5710 | 0.7269 | 0.5710 | 1.0 |
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| 1.5043 | 5.0 | 37495 | 1.6020 | 0.5710 | 0.7269 | 0.5710 | 1.0 |
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| 1.5677 | 6.0 | 44994 | 1.5306 | 0.5710 | 0.7269 | 0.5710 | 1.0 |
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| 1.4929 | 7.0 | 52493 | 1.4485 | 0.5710 | 0.7269 | 0.5710 | 1.0 |
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| 1.5105 | 8.0 | 59992 | 1.5439 | 0.5710 | 0.7269 | 0.5710 | 1.0 |
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| 1.3803 | 9.0 | 67491 | 1.4443 | 0.5710 | 0.7269 | 0.5710 | 1.0 |
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| 1.4626 | 10.0 | 74990 | 1.5080 | 0.5710 | 0.7269 | 0.5710 | 1.0 |
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| 1.4786 | 11.0 | 82489 | 1.5953 | 0.5710 | 0.7269 | 0.5710 | 1.0 |
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| 1.5471 | 12.0 | 89988 | 1.4525 | 0.5710 | 0.7269 | 0.5710 | 1.0 |
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| 1.5419 | 13.0 | 97487 | 1.5372 | 0.5710 | 0.7269 | 0.5710 | 1.0 |
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| 1.3997 | 14.0 | 104986 | 1.3026 | 0.5710 | 0.7269 | 0.5710 | 1.0 |
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| 1.4623 | 15.0 | 112485 | 1.4700 | 0.5710 | 0.7269 | 0.5710 | 1.0 |
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| 1.4559 | 16.0 | 119984 | 1.5842 | 0.5710 | 0.7269 | 0.5710 | 1.0 |
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| 1.462 | 17.0 | 127483 | 1.3627 | 0.5710 | 0.7269 | 0.5710 | 1.0 |
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| 1.4793 | 18.0 | 134982 | 1.4688 | 0.5710 | 0.7269 | 0.5710 | 1.0 |
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| 1.5473 | 19.0 | 142481 | 1.5292 | 0.5710 | 0.7269 | 0.5710 | 1.0 |
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| 1.4102 | 20.0 | 149980 | 1.4355 | 0.5710 | 0.7269 | 0.5710 | 1.0 |
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| 1.399 | 21.0 | 157479 | 1.4642 | 0.5710 | 0.7269 | 0.5710 | 1.0 |
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| 1.4259 | 22.0 | 164978 | 1.3940 | 0.5710 | 0.7269 | 0.5710 | 1.0 |
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| 1.4668 | 23.0 | 172477 | 1.4560 | 0.5710 | 0.7269 | 0.5710 | 1.0 |
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| 1.2382 | 24.0 | 179976 | 1.2598 | 0.6094 | 0.6599 | 0.6562 | 0.6636 |
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| 1.3404 | 25.0 | 187475 | 1.4411 | 0.5656 | 0.4919 | 0.7406 | 0.3682 |
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| 1.4606 | 26.0 | 194974 | 1.2831 | 0.6009 | 0.5844 | 0.7205 | 0.4916 |
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| 0.6338 | 27.0 | 202473 | 1.8519 | 0.5774 | 0.7258 | 0.5765 | 0.9794 |
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| 1.4405 | 28.0 | 209972 | 1.5227 | 0.5816 | 0.7308 | 0.5776 | 0.9944 |
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| 0.6593 | 29.0 | 217471 | 1.6163 | 0.5507 | 0.7087 | 0.5626 | 0.9570 |
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| 0.6664 | 30.0 | 224970 | 1.7090 | 0.5699 | 0.7249 | 0.5710 | 0.9925 |
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### Framework versions
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- Transformers 4.32.0.dev0
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- Pytorch 2.0.1
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- Datasets 2.14.4
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- Tokenizers 0.13.3
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config.json
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{
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"_name_or_path": "allenai/longformer-base-4096",
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"architectures": [
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"LongformerForSequenceClassification"
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],
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"attention_mode": "longformer",
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"attention_probs_dropout_prob": 0.1,
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"attention_window": [
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512,
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512,
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512,
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512,
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512,
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512,
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512,
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512,
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512,
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512,
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512,
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512
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],
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"bos_token_id": 0,
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"eos_token_id": 2,
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"gradient_checkpointing": false,
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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": "non-effects",
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"1": "effects"
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},
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"ignore_attention_mask": false,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"effects": 1,
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"non-effects": 0
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},
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 4098,
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"model_type": "longformer",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"onnx_export": false,
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"pad_token_id": 1,
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"problem_type": "single_label_classification",
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"sep_token_id": 2,
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"torch_dtype": "float32",
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"transformers_version": "4.32.0.dev0",
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"type_vocab_size": 1,
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"vocab_size": 50265
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}
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merges.txt
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:982af2e4877c5fcc8f605d1f553b70a1ba08056e86b7e4989ad6e0546097bcc3
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size 594739281
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special_tokens_map.json
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{
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"bos_token": "<s>",
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"cls_token": "<s>",
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"eos_token": "</s>",
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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": "<pad>",
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"sep_token": "</s>",
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"unk_token": "<unk>"
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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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"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": 4096,
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"model_max_length": 4096,
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"pad_token": "<pad>",
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"sep_token": "</s>",
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"tokenizer_class": "LongformerTokenizer",
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"trim_offsets": true,
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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:e856c7290e90f273490a6f90b136863915208df4f1552bb8b75d50d93c035690
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size 4155
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vocab.json
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