End of training
Browse files- README.md +59 -0
- config.json +27 -0
- merges.txt +0 -0
- model.safetensors +3 -0
- runs/May09_15-21-29_d90a564c5046/events.out.tfevents.1715268119.d90a564c5046.8273.0 +3 -0
- runs/May09_15-27-24_d90a564c5046/events.out.tfevents.1715268452.d90a564c5046.8273.1 +3 -0
- runs/May09_15-27-24_d90a564c5046/events.out.tfevents.1715268528.d90a564c5046.8273.2 +3 -0
- runs/May09_15-27-24_d90a564c5046/events.out.tfevents.1715268934.d90a564c5046.8273.3 +3 -0
- runs/May09_15-27-24_d90a564c5046/events.out.tfevents.1715269021.d90a564c5046.8273.4 +3 -0
- runs/May09_15-27-24_d90a564c5046/events.out.tfevents.1715269249.d90a564c5046.8273.5 +3 -0
- runs/May09_15-27-24_d90a564c5046/events.out.tfevents.1715269277.d90a564c5046.8273.6 +3 -0
- special_tokens_map.json +51 -0
- tokenizer.json +0 -0
- tokenizer_config.json +58 -0
- training_args.bin +3 -0
- vocab.json +0 -0
README.md
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---
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license: mit
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base_model: sangjeedondrub/tibetan-roberta-base
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tags:
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- generated_from_trainer
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model-index:
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- name: dzoQAmodel
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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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# dzoQAmodel
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This model is a fine-tuned version of [sangjeedondrub/tibetan-roberta-base](https://huggingface.co/sangjeedondrub/tibetan-roberta-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 6.1991
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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: 16
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- eval_batch_size: 16
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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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| No log | 1.0 | 1 | 6.1538 |
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| No log | 2.0 | 2 | 6.1843 |
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| No log | 3.0 | 3 | 6.1991 |
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### Framework versions
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- Transformers 4.40.1
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- Pytorch 2.2.1+cu121
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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config.json
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{
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"_name_or_path": "sangjeedondrub/tibetan-roberta-base",
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"architectures": [
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"RobertaForQuestionAnswering"
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],
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"attention_probs_dropout_prob": 0.1,
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"bos_token_id": 0,
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"classifier_dropout": null,
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"eos_token_id": 2,
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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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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 514,
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"model_type": "roberta",
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"num_attention_heads": 12,
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"num_hidden_layers": 6,
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"pad_token_id": 1,
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"position_embedding_type": "absolute",
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"torch_dtype": "float32",
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"transformers_version": "4.40.1",
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"type_vocab_size": 1,
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"use_cache": true,
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"vocab_size": 52000
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}
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merges.txt
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model.safetensors
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special_tokens_map.json
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tokenizer.json
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tokenizer_config.json
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"tokenizer_class": "RobertaTokenizer",
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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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vocab.json
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