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Model: DaDing777/qwen2.5-VL-3B-atm-finetune-rain-ana-finetune-full Source: Original Platform
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README.md
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README.md
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---
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library_name: transformers
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license: other
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base_model: /home/xuke/dch/checkpoint_models/qwen2.5-VL-3B-atm-finetune
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tags:
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- llama-factory
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- full
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- generated_from_trainer
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model-index:
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- name: qwen2.5-VL-3B-atm-finetune-rain-ana-finetune-full
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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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# qwen2.5-VL-3B-atm-finetune-rain-ana-finetune-full
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This model is a fine-tuned version of [/home/xuke/dch/checkpoint_models/qwen2.5-VL-3B-atm-finetune](https://huggingface.co//home/xuke/dch/checkpoint_models/qwen2.5-VL-3B-atm-finetune) on the atm_rain_ana 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: 1e-05
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- train_batch_size: 1
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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: 4
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 16
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- total_eval_batch_size: 32
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 1.0
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### Training results
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### Framework versions
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- Transformers 4.52.4
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- Pytorch 2.5.1+cu121
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- Datasets 3.6.0
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- Tokenizers 0.21.1
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added_tokens.json
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all_results.json
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"epoch": 1.0,
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chat_template.jinja
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{% set image_count = namespace(value=0) %}{% set video_count = namespace(value=0) %}{% for message in messages %}{% if loop.first and message['role'] != 'system' %}<|im_start|>system
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You are a helpful assistant.<|im_end|>
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{% endif %}<|im_start|>{{ message['role'] }}
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{% if message['content'] is string %}{{ message['content'] }}<|im_end|>
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{% else %}{% for content in message['content'] %}{% if content['type'] == 'image' or 'image' in content or 'image_url' in content %}{% set image_count.value = image_count.value + 1 %}{% if add_vision_id %}Picture {{ image_count.value }}: {% endif %}<|vision_start|><|image_pad|><|vision_end|>{% elif content['type'] == 'video' or 'video' in content %}{% set video_count.value = video_count.value + 1 %}{% if add_vision_id %}Video {{ video_count.value }}: {% endif %}<|vision_start|><|video_pad|><|vision_end|>{% elif 'text' in content %}{{ content['text'] }}{% endif %}{% endfor %}<|im_end|>
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{% endif %}{% endfor %}{% if add_generation_prompt %}<|im_start|>assistant
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{% endif %}
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config.json
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||||
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||||
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||||
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||||
3
tokenizer.json
Normal file
3
tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
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||||
oid sha256:9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa
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||||
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||||
209
tokenizer_config.json
Normal file
209
tokenizer_config.json
Normal file
@@ -0,0 +1,209 @@
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||||
{
|
||||
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||||
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8
train_results.json
Normal file
8
train_results.json
Normal file
@@ -0,0 +1,8 @@
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{
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42
trainer_log.jsonl
Normal file
42
trainer_log.jsonl
Normal file
@@ -0,0 +1,42 @@
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330
trainer_state.json
Normal file
330
trainer_state.json
Normal file
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Reference in New Issue
Block a user