sanjeev-bhandari01
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Commit
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Parent(s):
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Final-summerization-nepali
Browse files- README.md +49 -0
- config.json +1 -1
- generation_config.json +14 -0
- model.safetensors +1 -1
- special_tokens_map.json +6 -42
- tokenizer.json +3 -3
- training_args.bin +1 -1
README.md
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---
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license: mit
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base_model: pascalrai/nep-summ-BART
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tags:
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- generated_from_trainer
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model-index:
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- name: results
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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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# results
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This model is a fine-tuned version of [pascalrai/nep-summ-BART](https://huggingface.co/pascalrai/nep-summ-BART) on an unknown dataset.
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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: 3e-05
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- train_batch_size: 4
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- eval_batch_size: 4
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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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- lr_scheduler_warmup_steps: 500
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- num_epochs: 4
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- label_smoothing_factor: 0.1
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### Framework versions
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- Transformers 4.35.2
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- Pytorch 2.1.0+cu121
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- Tokenizers 0.15.2
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config.json
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{
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"_name_or_path": "
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"activation_dropout": 0.0,
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"activation_function": "gelu",
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"architectures": [
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{
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"_name_or_path": "pascalrai/nep-summ-BART",
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"activation_dropout": 0.0,
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"activation_function": "gelu",
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"architectures": [
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 0,
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"decoder_start_token_id": 1,
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"do_sample": true,
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"eos_token_id": 1,
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"forced_eos_token_id": 1,
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"length_penalty": 2.0,
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"max_length": 128,
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"min_length": 32,
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"num_beams": 4,
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"pad_token_id": 3,
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"transformers_version": "4.35.2"
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}
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model.safetensors
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special_tokens_map.json
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{
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"eos_token": {
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"normalized": false,
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},
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"mask_token": {
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"content": "<mask>",
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"lstrip": true,
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"rstrip": false,
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"single_word": false
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"pad_token":
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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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"bos_token": "<cls>",
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"cls_token": "<s>",
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"eos_token": "<sep>",
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"mask_token": {
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"content": "<mask>",
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"lstrip": true,
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"unk_token": "<unk>"
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}
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tokenizer.json
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training_args.bin
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