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Browse files- README.md +75 -0
- adapter_config.json +34 -0
- adapter_model.safetensors +3 -0
- special_tokens_map.json +24 -0
- tokenizer.json +0 -0
- tokenizer_config.json +131 -0
- training_args.bin +3 -0
README.md
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---
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base_model: microsoft/Phi-3.5-mini-instruct
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library_name: peft
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license: mit
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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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model-index:
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- name: Phi-3.5-MultiCap-mt
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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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# Phi-3.5-MultiCap-mt
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This model is a fine-tuned version of [microsoft/Phi-3.5-mini-instruct](https://huggingface.co/microsoft/Phi-3.5-mini-instruct) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.7569
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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: 0.0001
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 128
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_ratio: 0.03
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- num_epochs: 2
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 1.4288 | 0.1533 | 15 | 1.3449 |
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| 1.0894 | 0.3065 | 30 | 1.1240 |
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| 0.9541 | 0.4598 | 45 | 0.9830 |
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| 0.9216 | 0.6130 | 60 | 0.8949 |
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| 0.8675 | 0.7663 | 75 | 0.8414 |
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| 0.8007 | 0.9195 | 90 | 0.8108 |
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| 0.8205 | 1.0728 | 105 | 0.7919 |
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| 0.7864 | 1.2261 | 120 | 0.7794 |
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| 0.7983 | 1.3793 | 135 | 0.7705 |
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| 0.7784 | 1.5326 | 150 | 0.7641 |
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| 0.744 | 1.6858 | 165 | 0.7595 |
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| 0.7765 | 1.8391 | 180 | 0.7569 |
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### Framework versions
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- PEFT 0.12.0
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- Transformers 4.44.2
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- Pytorch 2.4.0+cu124
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- Datasets 2.21.0
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- Tokenizers 0.19.1
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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": "microsoft/Phi-3.5-mini-instruct",
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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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"layer_replication": null,
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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": 16,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"gate_proj",
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"q_proj",
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"v_proj",
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"down_proj",
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"o_proj",
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"up_proj",
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"k_proj"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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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 sha256:9e4bdbd9b0deff4a5a7c590911855293a149c699560bc0d10dc6c28d603943ac
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size 35668592
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special_tokens_map.json
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{
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"bos_token": {
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"content": "<s>",
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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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"eos_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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"pad_token": "<unk>",
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"unk_token": {
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"content": "<unk>",
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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_bos_token": false,
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"add_eos_token": false,
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"add_prefix_space": null,
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"added_tokens_decoder": {
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"0": {
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"content": "<unk>",
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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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"1": {
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"content": "<s>",
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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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"2": {
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"content": "</s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": true,
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"single_word": false,
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"special": false
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},
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"32000": {
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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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"32001": {
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"content": "<|assistant|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": true,
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"single_word": false,
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"special": true
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},
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"32002": {
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"content": "<|placeholder1|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": true,
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"single_word": false,
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"special": true
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},
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"32003": {
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"content": "<|placeholder2|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": true,
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"single_word": false,
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"special": true
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},
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"32004": {
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"content": "<|placeholder3|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": true,
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"single_word": false,
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"special": true
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},
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"32005": {
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"content": "<|placeholder4|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": true,
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"single_word": false,
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"special": true
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},
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"32006": {
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"content": "<|system|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": true,
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"single_word": false,
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"special": true
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},
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"32007": {
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"content": "<|end|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": true,
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"single_word": false,
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"special": true
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},
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"32008": {
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"content": "<|placeholder5|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": true,
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"single_word": false,
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"special": true
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},
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"32009": {
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"content": "<|placeholder6|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": true,
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"single_word": false,
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"special": true
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},
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"32010": {
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"content": "<|user|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": true,
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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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"bos_token": "<s>",
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"chat_template": "{% for message in messages %}{% if message['role'] == 'system' and message['content'] %}{{'<|system|>\n' + message['content'] + '<|end|>\n'}}{% elif message['role'] == 'user' %}{{'<|user|>\n' + message['content'] + '<|end|>\n'}}{% elif message['role'] == 'assistant' %}{{'<|assistant|>\n' + message['content'] + '<|end|>\n'}}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '<|assistant|>\n' }}{% else %}{{ eos_token }}{% endif %}",
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"clean_up_tokenization_spaces": false,
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"eos_token": "<|endoftext|>",
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"legacy": false,
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"model_max_length": 131072,
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"pad_token": "<unk>",
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"padding_side": "left",
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"sp_model_kwargs": {},
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"tokenizer_class": "LlamaTokenizer",
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"unk_token": "<unk>",
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"use_default_system_prompt": false
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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:c5d5104376ea130e022eda7bc9f25ec774a6b94bd7a8824ea02bb042e5966c21
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size 5432
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