Lichang-Chen
commited on
Model save
Browse files- README.md +69 -0
- added_tokens.json +4 -0
- all_results.json +8 -0
- config.json +28 -0
- generation_config.json +10 -0
- model-00001-of-00015.safetensors +3 -0
- model-00002-of-00015.safetensors +3 -0
- model-00003-of-00015.safetensors +3 -0
- model-00004-of-00015.safetensors +3 -0
- model-00005-of-00015.safetensors +3 -0
- model-00006-of-00015.safetensors +3 -0
- model-00007-of-00015.safetensors +3 -0
- model-00008-of-00015.safetensors +3 -0
- model-00009-of-00015.safetensors +3 -0
- model-00010-of-00015.safetensors +3 -0
- model-00011-of-00015.safetensors +3 -0
- model-00012-of-00015.safetensors +3 -0
- model-00013-of-00015.safetensors +3 -0
- model-00014-of-00015.safetensors +3 -0
- model-00015-of-00015.safetensors +3 -0
- model.safetensors.index.json +550 -0
- special_tokens_map.json +28 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +88 -0
- train_results.json +8 -0
- trainer_state.json +320 -0
- training_args.bin +3 -0
README.md
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---
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license: other
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base_model: 01-ai/Yi-34B-Chat
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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: yi-34b-v0.1
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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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# yi-34b-v0.1
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This model is a fine-tuned version of [01-ai/Yi-34B-Chat](https://huggingface.co/01-ai/Yi-34B-Chat) on the generator dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.8262
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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: 1
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- eval_batch_size: 1
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 8
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 32
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- total_eval_batch_size: 8
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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: 0.1
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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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| 0.6791 | 0.99 | 63 | 0.6753 |
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| 0.4164 | 1.99 | 127 | 0.7020 |
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| 0.2065 | 2.96 | 189 | 0.8262 |
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### Framework versions
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- Transformers 4.39.0.dev0
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- Pytorch 2.1.2
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- Datasets 2.14.6
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- Tokenizers 0.15.2
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added_tokens.json
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{
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"<|endoftext|>": 64001,
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"<|startoftext|>": 64000
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}
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all_results.json
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{
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"epoch": 2.96,
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"train_loss": 0.4923532526329081,
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"train_runtime": 4087.1741,
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"train_samples": 6520,
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"train_samples_per_second": 1.494,
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"train_steps_per_second": 0.046
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}
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config.json
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{
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"_name_or_path": "01-ai/Yi-34B-Chat",
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"hidden_act": "silu",
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"hidden_size": 7168,
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"initializer_range": 0.02,
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"intermediate_size": 20480,
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"max_position_embeddings": 4096,
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"model_type": "llama",
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"num_attention_heads": 56,
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"num_hidden_layers": 60,
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"num_key_value_heads": 8,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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"rope_scaling": null,
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"rope_theta": 5000000.0,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.39.0.dev0",
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"use_cache": false,
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"vocab_size": 64002
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}
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generation_config.json
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{
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"bos_token_id": 6,
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"do_sample": true,
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"eos_token_id": 7,
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"max_length": 4096,
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"pad_token_id": 0,
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"temperature": 0.6,
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"top_p": 0.8,
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"transformers_version": "4.39.0.dev0"
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}
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model-00001-of-00015.safetensors
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model.safetensors.index.json
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special_tokens_map.json
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tokenizer.json
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The diff for this file is too large to render.
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tokenizer.model
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version https://git-lfs.github.com/spec/v1
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size 1033105
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tokenizer_config.json
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