End of training
Browse files- .gitattributes +1 -0
- README.md +59 -0
- config.json +43 -0
- model.safetensors +3 -0
- runs/Nov13_03-58-18_853398e4acd5/events.out.tfevents.1699847905.853398e4acd5.48.0 +0 -0
- special_tokens_map.json +19 -0
- spiece.model +0 -0
- tokenizer.json +0 -0
- tokenizer_config.json +93 -0
- training_args.bin +0 -0
.gitattributes
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model.safetensors filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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license: mit
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base_model: xlnet-base-cased
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tags:
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- generated_from_trainer
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model-index:
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- name: xlnet
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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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# xlnet
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This model is a fine-tuned version of [xlnet-base-cased](https://huggingface.co/xlnet-base-cased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.8759
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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: 32
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- eval_batch_size: 32
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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: 3
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 1.1873 | 1.0 | 2777 | 0.8810 |
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| 0.7592 | 2.0 | 5554 | 0.8365 |
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| 0.6161 | 3.0 | 8331 | 0.8759 |
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### Framework versions
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- Transformers 4.35.0
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- Pytorch 2.0.0
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- Datasets 2.1.0
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- Tokenizers 0.14.1
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config.json
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{
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"_name_or_path": "xlnet-base-cased",
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"architectures": [
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"XLNetForQuestionAnsweringSimple"
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],
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"attn_type": "bi",
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"bi_data": false,
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"bos_token_id": 1,
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"clamp_len": -1,
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"d_head": 64,
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"d_inner": 3072,
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"d_model": 768,
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"dropout": 0.1,
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"end_n_top": 5,
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"eos_token_id": 2,
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"ff_activation": "gelu",
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"initializer_range": 0.02,
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"layer_norm_eps": 1e-12,
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"mem_len": null,
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"model_type": "xlnet",
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"n_head": 12,
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"n_layer": 12,
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"pad_token_id": 5,
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"reuse_len": null,
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"same_length": false,
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"start_n_top": 5,
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"summary_activation": "tanh",
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"summary_last_dropout": 0.1,
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"summary_type": "last",
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"summary_use_proj": true,
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"task_specific_params": {
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"text-generation": {
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"do_sample": true,
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"max_length": 250
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}
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},
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"torch_dtype": "float32",
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"transformers_version": "4.35.0",
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"untie_r": true,
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"use_mems_eval": true,
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"use_mems_train": false,
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"vocab_size": 32000
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:01f2b60135a781da178f63e19c2d4491e556c0245c5b3d82d9226dfb08d9ca75
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size 466902024
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runs/Nov13_03-58-18_853398e4acd5/events.out.tfevents.1699847905.853398e4acd5.48.0
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special_tokens_map.json
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{
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"additional_special_tokens": [
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"<eop>",
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"<eod>"
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],
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"bos_token": "<s>",
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"cls_token": "<cls>",
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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": "<sep>",
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"unk_token": "<unk>"
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}
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spiece.model
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tokenizer.json
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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": "<unk>",
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"lstrip": false,
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"normalized": 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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"single_word": false,
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"special": true
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},
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"3": {
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"content": "<cls>",
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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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"4": {
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"content": "<sep>",
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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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"5": {
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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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"6": {
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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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"7": {
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"content": "<eod>",
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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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"8": {
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"content": "<eop>",
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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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"additional_special_tokens": [
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"<eop>",
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"<eod>"
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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": "<cls>",
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"do_lower_case": false,
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"eos_token": "</s>",
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"keep_accents": false,
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"mask_token": "<mask>",
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"pad_token": "<pad>",
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"remove_space": true,
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"sep_token": "<sep>",
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"tokenizer_class": "XLNetTokenizer",
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"unk_token": "<unk>"
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}
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training_args.bin
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