indiejoseph
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Commit
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Model save
Browse files- README.md +12 -11
- all_results.json +7 -6
- model-00001-of-00003.safetensors +2 -2
- model-00002-of-00003.safetensors +1 -1
- model-00003-of-00003.safetensors +2 -2
- model.safetensors.index.json +1 -1
- train_results.json +7 -6
- trainer_state.json +0 -0
README.md
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---
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license: other
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base_model: hon9kon9ize/yi-1.5-6b-yub-vocab-expanded
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tags:
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- generated_from_trainer
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model-index:
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- name: cantonesellm-
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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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# cantonesellm-
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This model is a fine-tuned version of [hon9kon9ize/yi-1.5-6b-yub-vocab-expanded](https://huggingface.co/hon9kon9ize/yi-1.5-6b-yub-vocab-expanded) on the
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size:
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps:
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- total_train_batch_size: 128
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.
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- num_epochs: 1
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### Training results
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### Framework versions
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- Transformers 4.40.2
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- Pytorch 2.
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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---
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base_model: hon9kon9ize/yi-1.5-6b-yub-vocab-expanded
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tags:
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- trl
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- sft
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- generated_from_trainer
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datasets:
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- generator
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model-index:
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- name: cantonesellm-cpt-202405
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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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# cantonesellm-cpt-202405
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This model is a fine-tuned version of [hon9kon9ize/yi-1.5-6b-yub-vocab-expanded](https://huggingface.co/hon9kon9ize/yi-1.5-6b-yub-vocab-expanded) on the generator dataset.
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 16
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- total_train_batch_size: 128
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.05
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- num_epochs: 1
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### Training results
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### Framework versions
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- Transformers 4.40.2
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- Pytorch 2.1.0+cu118
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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all_results.json
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"train_loss":
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"total_flos": 1.0450600815746875e+19,
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"train_loss": 2.588996330897013,
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"train_runtime": 133512.32,
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"train_samples": 384224,
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"train_samples_per_second": 1.097,
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"train_steps_per_second": 0.009
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}
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model-00001-of-00003.safetensors
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model.safetensors.index.json
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train_results.json
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{
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"epoch": 0.
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"total_flos": 1.
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"train_samples": 384224,
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"train_samples_per_second": 1.097,
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"train_steps_per_second": 0.009
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trainer_state.json
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