Model save
Browse files- README.md +60 -0
- all_results.json +9 -0
- config.json +26 -0
- generation_config.json +6 -0
- model-00001-of-00003.safetensors +3 -0
- model-00002-of-00003.safetensors +3 -0
- model-00003-of-00003.safetensors +3 -0
- model.safetensors.index.json +298 -0
- special_tokens_map.json +35 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +48 -0
- train_results.json +9 -0
- trainer_state.json +132 -0
- training_args.bin +3 -0
README.md
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---
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license: mit
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base_model: ShenaoZ/SELM-Zephyr-7Bz-iter-1
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tags:
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- trl
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- dpo
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- generated_from_trainer
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model-index:
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- name: SELM-Zephyr-7Bz-iter-2
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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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# SELM-Zephyr-7Bz-iter-2
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This model is a fine-tuned version of [ShenaoZ/SELM-Zephyr-7Bz-iter-1](https://huggingface.co/ShenaoZ/SELM-Zephyr-7Bz-iter-1) on the None 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: 5e-07
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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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- 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: 256
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- total_eval_batch_size: 64
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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: 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 2.1.2+cu121
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- Datasets 2.14.6
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- Tokenizers 0.19.1
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all_results.json
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{
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"epoch": 0.9874476987447699,
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"total_flos": 0.0,
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"train_loss": 0.5438056961964752,
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"train_runtime": 2605.9239,
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"train_samples": 15283,
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"train_samples_per_second": 5.865,
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"train_steps_per_second": 0.023
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}
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config.json
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{
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"_name_or_path": "ShenaoZ/SELM-Zephyr-7Bz-iter-1",
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"architectures": [
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"MistralForCausalLM"
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],
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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": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 14336,
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"max_position_embeddings": 32768,
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"model_type": "mistral",
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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"num_key_value_heads": 8,
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"rms_norm_eps": 1e-05,
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"rope_theta": 10000.0,
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"sliding_window": 4096,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.40.2",
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"use_cache": false,
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"vocab_size": 32000
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}
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generation_config.json
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"_from_model_config": true,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"transformers_version": "4.40.2"
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}
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model-00001-of-00003.safetensors
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size 4943162336
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model-00002-of-00003.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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tokenizer.model
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version https://git-lfs.github.com/spec/v1
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tokenizer_config.json
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"epoch": 0.9874476987447699,
|
115 |
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"step": 59,
|
116 |
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"total_flos": 0.0,
|
117 |
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"train_loss": 0.5438056961964752,
|
118 |
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"train_runtime": 2605.9239,
|
119 |
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"train_samples_per_second": 5.865,
|
120 |
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"train_steps_per_second": 0.023
|
121 |
+
}
|
122 |
+
],
|
123 |
+
"logging_steps": 10,
|
124 |
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"max_steps": 59,
|
125 |
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"num_input_tokens_seen": 0,
|
126 |
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"num_train_epochs": 1,
|
127 |
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"save_steps": 100,
|
128 |
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"total_flos": 0.0,
|
129 |
+
"train_batch_size": 8,
|
130 |
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"trial_name": null,
|
131 |
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"trial_params": null
|
132 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:13fcb814779afbf55d11326c826a8bef8e990cf7d2af2834131eaf8bf47b75ce
|
3 |
+
size 6264
|