End of training
Browse files- README.md +71 -0
- added_tokens.json +3 -0
- bpe.codes +0 -0
- model.safetensors +3 -0
- special_tokens_map.json +51 -0
- tokenizer_config.json +54 -0
- training_args.bin +3 -0
- vocab.txt +0 -0
README.md
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---
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base_model: gechim/metadata-cls-no-gov-8k-v3
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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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model-index:
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- name: PhobertLexicalMeta-v2
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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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# PhobertLexicalMeta-v2
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This model is a fine-tuned version of [gechim/metadata-cls-no-gov-8k-v3](https://huggingface.co/gechim/metadata-cls-no-gov-8k-v3) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3926
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- Accuracy: 0.9062
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- F1: 0.8781
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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: 64
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- eval_batch_size: 64
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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: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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|:-------------:|:------:|:----:|:---------------:|:--------:|:------:|
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| No log | 0.8772 | 100 | 0.2699 | 0.9080 | 0.8801 |
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| 0.1564 | 1.7544 | 200 | 0.2984 | 0.9011 | 0.8723 |
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| 0.073 | 2.6316 | 300 | 0.3218 | 0.8987 | 0.8705 |
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| 0.0502 | 3.5088 | 400 | 0.3472 | 0.8927 | 0.8641 |
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| 0.0326 | 4.3860 | 500 | 0.3627 | 0.8941 | 0.8635 |
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| 0.0285 | 5.2632 | 600 | 0.3752 | 0.8964 | 0.8685 |
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| 0.0179 | 6.1404 | 700 | 0.3666 | 0.9025 | 0.8734 |
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| 0.0156 | 7.0175 | 800 | 0.3759 | 0.9043 | 0.8748 |
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| 0.0156 | 7.8947 | 900 | 0.3830 | 0.9080 | 0.8788 |
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| 0.011 | 8.7719 | 1000 | 0.3917 | 0.9039 | 0.8746 |
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| 0.0092 | 9.6491 | 1100 | 0.3926 | 0.9062 | 0.8781 |
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### Framework versions
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- Transformers 4.43.3
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- Pytorch 2.1.2
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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added_tokens.json
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{
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"<mask>": 64000
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}
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bpe.codes
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See raw diff
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:87ded3125493529e10c9c504daf815b1d9a55eb52cfffe96089f93a3968e0e68
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size 1076134104
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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": false,
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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": false,
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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": false,
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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": false,
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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": false,
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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": false,
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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": false,
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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_config.json
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{
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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": 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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"1": {
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"content": "<pad>",
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"lstrip": false,
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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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"2": {
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"content": "</s>",
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"lstrip": false,
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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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"3": {
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"content": "<unk>",
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"lstrip": false,
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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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"64000": {
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"content": "<mask>",
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"lstrip": false,
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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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"mask_token": "<mask>",
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"model_max_length": 1000000000000000019884624838656,
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"pad_token": "<pad>",
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"sep_token": "</s>",
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"tokenizer_class": "PhobertTokenizer",
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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 sha256:9ad166042dd31d3e4d608bac78848d48d63b3459d7df455e3230ed1d37241bc9
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size 5112
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vocab.txt
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