style: 学習済みモデルを追加
Browse files- .gitattributes +2 -0
- output/README.md +51 -0
- output/all_results.json +8 -0
- output/config.json +34 -0
- output/generation_config.json +6 -0
- output/model.safetensors +3 -0
- output/special_tokens_map.json +9 -0
- output/spiece.model +3 -0
- output/tokenizer_config.json +17 -0
- output/train_results.json +8 -0
- output/trainer_state.json +4345 -0
- output/training_args.bin +0 -0
.gitattributes
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output/model.safetensors filter=lfs diff=lfs merge=lfs -text
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output/spiece.model filter=lfs diff=lfs merge=lfs -text
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output/README.md
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---
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license: mit
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tags:
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- generated_from_trainer
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model-index:
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- name: output
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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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# output
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This model is a fine-tuned version of [rinna/japanese-gpt-1b](https://huggingface.co/rinna/japanese-gpt-1b) 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: 1e-07
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- train_batch_size: 2
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- eval_batch_size: 8
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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: constant
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- num_epochs: 18.0
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### Training results
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### Framework versions
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- Transformers 4.29.0.dev0
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- Pytorch 2.1.0.dev20230503+cu117
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- Datasets 2.12.0
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- Tokenizers 0.13.3
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output/all_results.json
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{
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"epoch": 18.0,
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"train_loss": 3.0161131058520043,
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+
"train_runtime": 38619.075,
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+
"train_samples": 3040,
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"train_samples_per_second": 1.417,
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"train_steps_per_second": 0.708
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}
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output/config.json
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{
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"_name_or_path": "rinna/japanese-gpt-1b",
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"activation_function": "gelu_fast",
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"architectures": [
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"GPT2LMHeadModel"
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],
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"attn_pdrop": 0.1,
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"bos_token_id": 2,
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"embd_pdrop": 0.1,
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"eos_token_id": 3,
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"gradient_checkpointing": false,
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"initializer_range": 0.02,
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"layer_norm_epsilon": 1e-05,
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"model_type": "gpt2",
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"n_ctx": 1024,
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"n_embd": 2048,
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"n_head": 16,
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"n_inner": 8192,
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"n_layer": 24,
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"n_positions": 1024,
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"reorder_and_upcast_attn": false,
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"resid_pdrop": 0.1,
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"scale_attn_by_inverse_layer_idx": false,
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"scale_attn_weights": true,
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"summary_activation": null,
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"summary_first_dropout": 0.1,
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"summary_proj_to_labels": true,
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"summary_type": "cls_index",
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"summary_use_proj": true,
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"torch_dtype": "float32",
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"transformers_version": "4.29.0.dev0",
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"use_cache": true,
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"vocab_size": 44928
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}
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output/generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 2,
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"eos_token_id": 3,
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"transformers_version": "4.29.0.dev0"
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}
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output/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:47d98db14aee20d28f52982c02e371a0a5301ab39840807b4940c4c497d37d3d
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size 5236050824
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output/special_tokens_map.json
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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": "[MASK]",
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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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output/spiece.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:9dbbd4ddbe43941051ed35fd44ff0d9d1c00ed345f7fd4d1969df174110f0609
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size 1044749
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output/tokenizer_config.json
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{
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"additional_special_tokens": [],
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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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"extra_ids": 0,
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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": "[SEP]",
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"sp_model_kwargs": {},
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"tokenizer_class": "T5Tokenizer",
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"unk_token": "<unk>",
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"use_fast": true
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}
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output/train_results.json
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{
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"epoch": 18.0,
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"train_loss": 3.0161131058520043,
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"train_runtime": 38619.075,
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"train_samples": 3040,
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"train_samples_per_second": 1.417,
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"train_steps_per_second": 0.708
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}
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output/trainer_state.json
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output/training_args.bin
ADDED
Binary file (4.03 kB). View file
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