Model save
Browse files- README.md +80 -0
- added_tokens.json +24 -0
- all_results.json +9 -0
- config.json +30 -0
- generation_config.json +7 -0
- merges.txt +0 -0
- model.safetensors +3 -0
- special_tokens_map.json +27 -0
- tokenizer.json +0 -0
- tokenizer_config.json +196 -0
- train_results.json +9 -0
- trainer_state.json +1219 -0
- training_args.bin +3 -0
- vocab.json +0 -0
README.md
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---
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license: apache-2.0
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base_model: hZzy/qwen2.5-0.5b-sft-news-IFT
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tags:
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- trl
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- expo
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- generated_from_trainer
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model-index:
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- name: qwen2.5-0.5b-expo-DPO-EXPERIMENT
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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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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/zhiyuzha-university-of-florida/huggingface/runs/g2cz8uwi)
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# qwen2.5-0.5b-expo-DPO-EXPERIMENT
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This model is a fine-tuned version of [hZzy/qwen2.5-0.5b-sft-news-IFT](https://huggingface.co/hZzy/qwen2.5-0.5b-sft-news-IFT) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6818
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- Logps: -92.0550
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- Logits: -1.5636
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- Objective: 0.6891
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- Dpo Loss: 0.6891
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- Regularize: 0.6891
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- Ranking Simple: 0.5196
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- Ranking Idealized: 0.5888
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- Ranking Idealized Expo: 0.5103
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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: 4
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- eval_batch_size: 4
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 6
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- gradient_accumulation_steps: 12
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- total_train_batch_size: 288
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- total_eval_batch_size: 24
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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: 2
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Logps | Logits | Objective | Dpo Loss | Regularize | Ranking Simple | Ranking Idealized | Ranking Idealized Expo |
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|:-------------:|:------:|:----:|:---------------:|:--------:|:-------:|:---------:|:--------:|:----------:|:--------------:|:-----------------:|:----------------------:|
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| 0.6855 | 0.2834 | 50 | 0.6889 | -90.7669 | -1.4343 | 0.6918 | 0.6918 | 0.6918 | 0.5103 | 0.5888 | 0.5103 |
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| 0.6746 | 0.5668 | 100 | 0.6858 | -90.9748 | -1.4764 | 0.6899 | 0.6899 | 0.6899 | 0.5093 | 0.5888 | 0.5103 |
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| 0.6601 | 0.8503 | 150 | 0.6828 | -90.8063 | -1.5179 | 0.6886 | 0.6886 | 0.6886 | 0.5134 | 0.5888 | 0.5103 |
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| 0.6473 | 1.1337 | 200 | 0.6826 | -91.9779 | -1.5427 | 0.6890 | 0.6890 | 0.6890 | 0.5176 | 0.5888 | 0.5103 |
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| 0.6449 | 1.4171 | 250 | 0.6813 | -91.6044 | -1.5537 | 0.6887 | 0.6887 | 0.6887 | 0.5176 | 0.5888 | 0.5103 |
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| 0.6384 | 1.7005 | 300 | 0.6818 | -92.0140 | -1.5627 | 0.6890 | 0.6890 | 0.6890 | 0.5186 | 0.5888 | 0.5103 |
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| 0.6431 | 1.9839 | 350 | 0.6818 | -92.0550 | -1.5636 | 0.6891 | 0.6891 | 0.6891 | 0.5196 | 0.5888 | 0.5103 |
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### Framework versions
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- Transformers 4.42.0
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- Pytorch 2.3.0+cu121
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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added_tokens.json
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{
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}
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all_results.json
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{
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"epoch": 1.995276334435522,
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"total_flos": 0.0,
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"train_loss": 0.6593505936590108,
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"train_runtime": 15975.3291,
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"train_samples": 50802,
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"train_samples_per_second": 6.36,
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"train_steps_per_second": 0.022
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}
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config.json
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{
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"_name_or_path": "hZzy/qwen2.5-0.5b-sft-news-IFT",
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"architectures": [
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"Qwen2ForCausalLM"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 151644,
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"max_position_embeddings": 32768,
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"max_window_layers": 24,
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"model_type": "qwen2",
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"num_attention_heads": 14,
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"num_hidden_layers": 24,
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"num_key_value_heads": 2,
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"tie_word_embeddings": true,
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"vocab_size": 151665
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}
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generation_config.json
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{
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"bos_token_id": 151644,
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"eos_token_id": 151645,
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"max_new_tokens": 2048,
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"pad_token_id": 151645,
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"transformers_version": "4.42.0"
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}
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merges.txt
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:28b8015eb586a483d58d50080a2faba34af139eac52760cdbae566d3699312ba
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size 1975192208
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special_tokens_map.json
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{
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"additional_special_tokens": [
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"<|im_start|>",
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"<|im_end|>"
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],
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"bos_token": {
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"content": "<|im_start|>",
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"lstrip": false,
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},
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"eos_token": {
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"content": "<|im_end|>",
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"lstrip": false,
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"normalized": false,
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}
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}
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tokenizer.json
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tokenizer_config.json
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114 |
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125 |
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126 |
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128 |
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130 |
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132 |
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133 |
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134 |
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135 |
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137 |
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138 |
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140 |
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141 |
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|
142 |
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158 |
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169 |
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170 |
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171 |
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|
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181 |
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|
182 |
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|
183 |
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|
184 |
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|
185 |
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],
|
186 |
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|
187 |
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"chat_template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'system' %}\n{{ '<|system|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'assistant' %}\n{{ '<|assistant|>\n' + message['content'] + eos_token }}\n{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ '<|assistant|>' }}\n{% endif %}\n{% endfor %}",
|
188 |
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"clean_up_tokenization_spaces": false,
|
189 |
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"eos_token": "<|im_end|>",
|
190 |
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"errors": "replace",
|
191 |
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"model_max_length": 2048,
|
192 |
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|
193 |
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|
194 |
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"tokenizer_class": "Qwen2Tokenizer",
|
195 |
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"unk_token": null
|
196 |
+
}
|
train_results.json
ADDED
@@ -0,0 +1,9 @@
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1 |
+
{
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2 |
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"epoch": 1.995276334435522,
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3 |
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"total_flos": 0.0,
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"train_loss": 0.6593505936590108,
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"train_runtime": 15975.3291,
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"train_samples": 50802,
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"train_samples_per_second": 6.36,
|
8 |
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"train_steps_per_second": 0.022
|
9 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,1219 @@
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