Model save
Browse files- README.md +58 -0
- added_tokens.json +25 -0
- config.json +94 -0
- generation_config.json +6 -0
- merges.txt +0 -0
- model.safetensors +3 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +32 -0
- tokenizer_config.json +216 -0
- trainer_state.json +3714 -0
- training_args.bin +3 -0
- vocab.json +0 -0
README.md
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---
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base_model: Nhanvi282/LLaVA_Qwen2.5_0.5b_SigLIPStage2
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tags:
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- generated_from_trainer
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model-index:
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- name: MoE_LlaVa_Qwen2.5_0.5bx4Top2_SigLIP
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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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# MoE_LlaVa_Qwen2.5_0.5bx4Top2_SigLIP
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This model is a fine-tuned version of [Nhanvi282/LLaVA_Qwen2.5_0.5b_SigLIPStage2](https://huggingface.co/Nhanvi282/LLaVA_Qwen2.5_0.5b_SigLIPStage2) on an unknown 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: 2e-06
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- train_batch_size: 2
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- eval_batch_size: 2
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 2
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- gradient_accumulation_steps: 16
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- total_train_batch_size: 64
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- total_eval_batch_size: 4
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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: 0.03
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- num_epochs: 4.0
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- mixed_precision_training: Native AMP
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### Training results
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### Framework versions
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- Transformers 4.37.0
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- Pytorch 2.0.1+cu117
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- Datasets 3.0.1
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- Tokenizers 0.15.1
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added_tokens.json
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{
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}
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config.json
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{
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"_name_or_path": "Nhanvi282/LLaVA_Qwen2.5_0.5b_SigLIPStage2",
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"architectures": [
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"MoELLaVAQwen2ForCausalLM"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 151643,
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"eos_token_id": 151643,
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"freeze_mm_mlp_adapter": false,
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"hidden_act": "silu",
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"hidden_size": 896,
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"image_aspect_ratio": "pad",
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"image_projector_type": "mlp2x_gelu",
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"initializer_range": 0.02,
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"intermediate_size": 4864,
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"lora": {},
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"max_position_embeddings": 32768,
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"max_window_layers": 24,
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"mm_hidden_size": 768,
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"mm_image_tower": "google/siglip-base-patch16-256-multilingual",
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"mm_projector_lr": null,
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"mm_use_im_patch_token": false,
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"mm_use_im_start_end": false,
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"mm_video_tower": null,
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"mm_vision_select_feature": "patch",
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"mm_vision_select_layer": -2,
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"model_type": "moe_llava_qwen2",
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"moe": {
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"capacity_factor": 1.5,
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"ep_size": 1,
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"eval_capacity_factor": 2.0,
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"min_capacity": 0,
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"moe_enable": true,
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"moe_layers_idx": [
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],
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"moe_mode": "sparse",
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"num_experts": [
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],
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"router_aux_loss_coef": 0.01,
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"top_k_experts": 2,
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"train_modules": [
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"mlp.gate_proj",
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"mlp.up_proj",
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"mlp.down_proj",
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"wg"
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],
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"use_residual": false
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},
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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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"tokenizer_padding_side": "right",
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"torch_dtype": "float16",
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"transformers_version": "4.37.0",
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"tune_mm_mlp_adapter": false,
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"use_cache": true,
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"use_mm_proj": true,
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"use_mrope": false,
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"use_sliding_window": false,
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"video_global_proj": false,
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"video_projector_type": "linear",
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"vocab_size": 151936
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}
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generation_config.json
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{
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"bos_token_id": 151643,
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"eos_token_id": 151643,
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"max_new_tokens": 2048,
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"transformers_version": "4.37.0"
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}
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merges.txt
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The diff for this file is too large to render.
See raw diff
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:6e465dfec31274be77a9d4baa978e1bd8727f19595065f505578ae62dc2e0d6c
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size 4781336392
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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size 2118541325
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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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"<|object_ref_start|>",
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"<|box_start|>",
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"<|quad_start|>",
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"<|vision_end|>",
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},
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"unk_token": {
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}
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}
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tokenizer_config.json
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|
39 |
+
"lstrip": false,
|
40 |
+
"normalized": false,
|
41 |
+
"rstrip": false,
|
42 |
+
"single_word": false,
|
43 |
+
"special": true
|
44 |
+
},
|
45 |
+
"151648": {
|
46 |
+
"content": "<|box_start|>",
|
47 |
+
"lstrip": false,
|
48 |
+
"normalized": false,
|
49 |
+
"rstrip": false,
|
50 |
+
"single_word": false,
|
51 |
+
"special": true
|
52 |
+
},
|
53 |
+
"151649": {
|
54 |
+
"content": "<|box_end|>",
|
55 |
+
"lstrip": false,
|
56 |
+
"normalized": false,
|
57 |
+
"rstrip": false,
|
58 |
+
"single_word": false,
|
59 |
+
"special": true
|
60 |
+
},
|
61 |
+
"151650": {
|
62 |
+
"content": "<|quad_start|>",
|
63 |
+
"lstrip": false,
|
64 |
+
"normalized": false,
|
65 |
+
"rstrip": false,
|
66 |
+
"single_word": false,
|
67 |
+
"special": true
|
68 |
+
},
|
69 |
+
"151651": {
|
70 |
+
"content": "<|quad_end|>",
|
71 |
+
"lstrip": false,
|
72 |
+
"normalized": false,
|
73 |
+
"rstrip": false,
|
74 |
+
"single_word": false,
|
75 |
+
"special": true
|
76 |
+
},
|
77 |
+
"151652": {
|
78 |
+
"content": "<|vision_start|>",
|
79 |
+
"lstrip": false,
|
80 |
+
"normalized": false,
|
81 |
+
"rstrip": false,
|
82 |
+
"single_word": false,
|
83 |
+
"special": true
|
84 |
+
},
|
85 |
+
"151653": {
|
86 |
+
"content": "<|vision_end|>",
|
87 |
+
"lstrip": false,
|
88 |
+
"normalized": false,
|
89 |
+
"rstrip": false,
|
90 |
+
"single_word": false,
|
91 |
+
"special": true
|
92 |
+
},
|
93 |
+
"151654": {
|
94 |
+
"content": "<|vision_pad|>",
|
95 |
+
"lstrip": false,
|
96 |
+
"normalized": false,
|
97 |
+
"rstrip": false,
|
98 |
+
"single_word": false,
|
99 |
+
"special": true
|
100 |
+
},
|
101 |
+
"151655": {
|
102 |
+
"content": "<|image_pad|>",
|
103 |
+
"lstrip": false,
|
104 |
+
"normalized": false,
|
105 |
+
"rstrip": false,
|
106 |
+
"single_word": false,
|
107 |
+
"special": true
|
108 |
+
},
|
109 |
+
"151656": {
|
110 |
+
"content": "<|video_pad|>",
|
111 |
+
"lstrip": false,
|
112 |
+
"normalized": false,
|
113 |
+
"rstrip": false,
|
114 |
+
"single_word": false,
|
115 |
+
"special": true
|
116 |
+
},
|
117 |
+
"151657": {
|
118 |
+
"content": "<tool_call>",
|
119 |
+
"lstrip": false,
|
120 |
+
"normalized": false,
|
121 |
+
"rstrip": false,
|
122 |
+
"single_word": false,
|
123 |
+
"special": false
|
124 |
+
},
|
125 |
+
"151658": {
|
126 |
+
"content": "</tool_call>",
|
127 |
+
"lstrip": false,
|
128 |
+
"normalized": false,
|
129 |
+
"rstrip": false,
|
130 |
+
"single_word": false,
|
131 |
+
"special": false
|
132 |
+
},
|
133 |
+
"151659": {
|
134 |
+
"content": "<|fim_prefix|>",
|
135 |
+
"lstrip": false,
|
136 |
+
"normalized": false,
|
137 |
+
"rstrip": false,
|
138 |
+
"single_word": false,
|
139 |
+
"special": false
|
140 |
+
},
|
141 |
+
"151660": {
|
142 |
+
"content": "<|fim_middle|>",
|
143 |
+
"lstrip": false,
|
144 |
+
"normalized": false,
|
145 |
+
"rstrip": false,
|
146 |
+
"single_word": false,
|
147 |
+
"special": false
|
148 |
+
},
|
149 |
+
"151661": {
|
150 |
+
"content": "<|fim_suffix|>",
|
151 |
+
"lstrip": false,
|
152 |
+
"normalized": false,
|
153 |
+
"rstrip": false,
|
154 |
+
"single_word": false,
|
155 |
+
"special": false
|
156 |
+
},
|
157 |
+
"151662": {
|
158 |
+
"content": "<|fim_pad|>",
|
159 |
+
"lstrip": false,
|
160 |
+
"normalized": false,
|
161 |
+
"rstrip": false,
|
162 |
+
"single_word": false,
|
163 |
+
"special": false
|
164 |
+
},
|
165 |
+
"151663": {
|
166 |
+
"content": "<|repo_name|>",
|
167 |
+
"lstrip": false,
|
168 |
+
"normalized": false,
|
169 |
+
"rstrip": false,
|
170 |
+
"single_word": false,
|
171 |
+
"special": false
|
172 |
+
},
|
173 |
+
"151664": {
|
174 |
+
"content": "<|file_sep|>",
|
175 |
+
"lstrip": false,
|
176 |
+
"normalized": false,
|
177 |
+
"rstrip": false,
|
178 |
+
"single_word": false,
|
179 |
+
"special": false
|
180 |
+
},
|
181 |
+
"151665": {
|
182 |
+
"content": "<|extra_0|>",
|
183 |
+
"lstrip": false,
|
184 |
+
"normalized": false,
|
185 |
+
"rstrip": false,
|
186 |
+
"single_word": false,
|
187 |
+
"special": true
|
188 |
+
}
|
189 |
+
},
|
190 |
+
"additional_special_tokens": [
|
191 |
+
"<|im_start|>",
|
192 |
+
"<|im_end|>",
|
193 |
+
"<|object_ref_start|>",
|
194 |
+
"<|object_ref_end|>",
|
195 |
+
"<|box_start|>",
|
196 |
+
"<|box_end|>",
|
197 |
+
"<|quad_start|>",
|
198 |
+
"<|quad_end|>",
|
199 |
+
"<|vision_start|>",
|
200 |
+
"<|vision_end|>",
|
201 |
+
"<|vision_pad|>",
|
202 |
+
"<|image_pad|>",
|
203 |
+
"<|video_pad|>"
|
204 |
+
],
|
205 |
+
"bos_token": null,
|
206 |
+
"chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0]['role'] == 'system' %}\n {{- messages[0]['content'] }}\n {%- else %}\n {{- 'You are a helpful assistant.' }}\n {%- endif %}\n {{- \"\\n\\n# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n {%- if messages[0]['role'] == 'system' %}\n {{- '<|im_start|>system\\n' + messages[0]['content'] + '<|im_end|>\\n' }}\n {%- else %}\n {{- '<|im_start|>system\\nYou are a helpful assistant.<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) or (message.role == \"assistant\" and not message.tool_calls) %}\n {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {{- '<|im_start|>' + message.role }}\n {%- if message.content %}\n {{- '\\n' + message.content }}\n {%- endif %}\n {%- for tool_call in message.tool_calls %}\n {%- if tool_call.function is defined %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '\\n<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {{- tool_call.arguments | tojson }}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- message.content }}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n{%- endif %}\n",
|
207 |
+
"clean_up_tokenization_spaces": false,
|
208 |
+
"eos_token": "<|endoftext|>",
|
209 |
+
"errors": "replace",
|
210 |
+
"model_max_length": 2048,
|
211 |
+
"pad_token": "<|extra_0|>",
|
212 |
+
"padding_side": "right",
|
213 |
+
"split_special_tokens": false,
|
214 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
215 |
+
"unk_token": "<|extra_0|>"
|
216 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,3714 @@
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+
"train_steps_per_second": 0.099
|
3703 |
+
}
|
3704 |
+
],
|
3705 |
+
"logging_steps": 2,
|
3706 |
+
"max_steps": 1228,
|
3707 |
+
"num_input_tokens_seen": 0,
|
3708 |
+
"num_train_epochs": 4,
|
3709 |
+
"save_steps": 9000,
|
3710 |
+
"total_flos": 5.36747403420631e+16,
|
3711 |
+
"train_batch_size": 2,
|
3712 |
+
"trial_name": null,
|
3713 |
+
"trial_params": null
|
3714 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:03e2624f18858318179d865ff040c26dce2f960778809053c2a4321d9ea58af0
|
3 |
+
size 5883
|
vocab.json
ADDED
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|
|