santyzenith
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Qwen1-1-4B-UDA-rules
Browse files- README.md +82 -0
- adapter_config.json +32 -0
- adapter_model.safetensors +3 -0
- added_tokens.json +5 -0
- merges.txt +0 -0
- special_tokens_map.json +20 -0
- tokenizer.json +0 -0
- tokenizer_config.json +43 -0
- training_args.bin +3 -0
- vocab.json +0 -0
README.md
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---
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license: other
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library_name: peft
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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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base_model: Qwen/Qwen1.5-4B-Chat
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model-index:
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- name: temps
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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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# temps
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This model is a fine-tuned version of [Qwen/Qwen1.5-4B-Chat](https://huggingface.co/Qwen/Qwen1.5-4B-Chat) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2647
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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: 0.0002
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- train_batch_size: 4
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- eval_batch_size: 1
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 16
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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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- lr_scheduler_warmup_steps: 2
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- num_epochs: 20
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 2.4933 | 0.95 | 9 | 1.3903 |
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| 1.1607 | 2.0 | 19 | 0.9786 |
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| 0.9208 | 2.95 | 28 | 0.6901 |
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| 0.5404 | 4.0 | 38 | 0.4664 |
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| 0.3362 | 4.95 | 47 | 0.3509 |
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| 0.1628 | 6.0 | 57 | 0.2848 |
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| 0.117 | 6.95 | 66 | 0.2630 |
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| 0.074 | 8.0 | 76 | 0.2563 |
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| 0.0727 | 8.95 | 85 | 0.2402 |
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| 0.0613 | 10.0 | 95 | 0.2536 |
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| 0.0597 | 10.95 | 104 | 0.2642 |
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| 0.0508 | 12.0 | 114 | 0.2567 |
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| 0.0558 | 12.95 | 123 | 0.2476 |
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| 0.0477 | 14.0 | 133 | 0.2648 |
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| 0.0537 | 14.95 | 142 | 0.2691 |
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| 0.0447 | 16.0 | 152 | 0.2629 |
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| 0.0473 | 16.95 | 161 | 0.2812 |
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| 0.0421 | 18.0 | 171 | 0.2566 |
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| 0.0428 | 18.95 | 180 | 0.2647 |
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### Framework versions
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- PEFT 0.8.2
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- Transformers 4.39.3
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- Pytorch 2.2.0+cu121
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- Datasets 2.16.1
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- Tokenizers 0.15.1
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adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "Qwen/Qwen1.5-4B-Chat",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 16,
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"lora_dropout": 0.05,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 8,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"q_proj",
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"gate_proj",
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"down_proj",
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"v_proj",
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"up_proj",
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"o_proj",
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"k_proj"
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],
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"task_type": "CAUSAL_LM",
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"use_rslora": false
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}
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:cca5810ea36123a2bddacb466e51efe430ff1a407da308a62ec5d802f1da6329
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size 31367672
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added_tokens.json
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{
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"<|endoftext|>": 151643,
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"<|im_end|>": 151645,
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"<|im_start|>": 151644
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}
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merges.txt
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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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"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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"rstrip": false,
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"single_word": false
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},
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"pad_token": {
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"content": "<|endoftext|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": 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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{
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"add_prefix_space": false,
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"added_tokens_decoder": {
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"151643": {
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"content": "<|endoftext|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"151644": {
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"content": "<|im_start|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"151645": {
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"content": "<|im_end|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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}
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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": null,
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"chat_template": "{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system\nYou are a helpful assistant<|im_end|>\n' }}{% endif %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
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"clean_up_tokenization_spaces": false,
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"eos_token": "<|im_end|>",
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"errors": "replace",
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"model_max_length": 2048,
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"pad_token": "<|endoftext|>",
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"split_special_tokens": false,
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"tokenizer_class": "Qwen2Tokenizer",
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"unk_token": null
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}
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:3af00cc325d7c3e6cf327a8fd28c1265ecd77659d056f6ebe17f39e7f28b2dab
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size 4920
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vocab.json
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