Training in progress, step 10
Browse files- .gitattributes +1 -0
- README.md +68 -0
- adapter_config.json +45 -0
- adapter_model.safetensors +3 -0
- chat_template.jinja +33 -0
- preprocessor_config.json +27 -0
- special_tokens_map.json +34 -0
- tokenizer.json +3 -0
- tokenizer_config.json +220 -0
- training_args.bin +3 -0
- video_preprocessor_config.json +42 -0
.gitattributes
CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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+
base_model: THUDM/GLM-4.1V-9B-Thinking
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library_name: transformers
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+
model_name: glv4-1v-all-linear-cn31-727
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tags:
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- generated_from_trainer
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- grpo
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- trl
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licence: license
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---
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# Model Card for glv4-1v-all-linear-cn31-727
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This model is a fine-tuned version of [THUDM/GLM-4.1V-9B-Thinking](https://huggingface.co/THUDM/GLM-4.1V-9B-Thinking).
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It has been trained using [TRL](https://github.com/huggingface/trl).
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## Quick start
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```python
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from transformers import pipeline
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question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
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generator = pipeline("text-generation", model="jfang/glv4-1v-all-linear-cn31-727", device="cuda")
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output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
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print(output["generated_text"])
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```
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## Training procedure
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/on-planets/glm4-1v-8b/runs/ad4mye88)
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This model was trained with GRPO, a method introduced in [DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models](https://huggingface.co/papers/2402.03300).
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### Framework versions
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- TRL: 0.20.0.dev0
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- Transformers: 4.54.0
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- Pytorch: 2.7.1+cu128
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- Datasets: 4.0.0
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- Tokenizers: 0.21.2
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## Citations
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Cite GRPO as:
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|
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```bibtex
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@article{zhihong2024deepseekmath,
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title = {{DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models}},
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author = {Zhihong Shao and Peiyi Wang and Qihao Zhu and Runxin Xu and Junxiao Song and Mingchuan Zhang and Y. K. Li and Y. Wu and Daya Guo},
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year = 2024,
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eprint = {arXiv:2402.03300},
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}
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|
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```
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|
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Cite TRL as:
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|
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```bibtex
|
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@misc{vonwerra2022trl,
|
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title = {{TRL: Transformer Reinforcement Learning}},
|
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author = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallou{\'e}dec},
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year = 2020,
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journal = {GitHub repository},
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publisher = {GitHub},
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howpublished = {\url{https://github.com/huggingface/trl}}
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}
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```
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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": "THUDM/GLM-4.1V-9B-Thinking",
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+
"bias": "none",
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+
"corda_config": null,
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7 |
+
"eva_config": null,
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"exclude_modules": null,
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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": 32,
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"lora_bias": false,
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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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"qalora_group_size": 16,
|
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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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"down_proj",
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"q_proj",
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"o_proj",
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"k_proj",
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"gate_proj",
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"qkv",
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"up_proj",
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"merger.proj",
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"v_proj",
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"gate_up_proj",
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"attn.proj"
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],
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"task_type": "CAUSAL_LM",
|
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"trainable_token_indices": null,
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"use_dora": false,
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"use_qalora": 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 sha256:99ff2e9b86cd2e4ac86f62615f3f01307be6bc895741b0608d5dada7ad046c41
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size 117320232
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chat_template.jinja
ADDED
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[gMASK]<sop>
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{%- for msg in messages %}
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{%- if msg.role == 'system' %}
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<|system|>
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{{ msg.content }}
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{%- elif msg.role == 'user' %}
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<|user|>{{ '\n' }}
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{%- if msg.content is string %}
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{{ msg.content }}
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{%- else %}
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{%- for item in msg.content %}
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{%- if item.type == 'video' or 'video' in item %}
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<|begin_of_video|><|video|><|end_of_video|>
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{%- elif item.type == 'image' or 'image' in item %}
|
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<|begin_of_image|><|image|><|end_of_image|>
|
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{%- elif item.type == 'text' %}
|
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{{ item.text }}
|
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{%- endif %}
|
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{%- endfor %}
|
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+
{%- endif %}
|
22 |
+
{%- elif msg.role == 'assistant' %}
|
23 |
+
{%- if msg.metadata %}
|
24 |
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<|assistant|>{{ msg.metadata }}
|
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{{ msg.content }}
|
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{%- else %}
|
27 |
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<|assistant|>
|
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{{ msg.content }}
|
29 |
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{%- endif %}
|
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{%- endif %}
|
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{%- endfor %}
|
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{% if add_generation_prompt %}<|assistant|>
|
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{% endif %}
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preprocessor_config.json
ADDED
@@ -0,0 +1,27 @@
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{
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"do_convert_rgb": true,
|
3 |
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"do_normalize": true,
|
4 |
+
"do_rescale": true,
|
5 |
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"do_resize": true,
|
6 |
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"image_mean": [
|
7 |
+
0.48145466,
|
8 |
+
0.4578275,
|
9 |
+
0.40821073
|
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],
|
11 |
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"image_processor_type": "Glm4vImageProcessor",
|
12 |
+
"image_std": [
|
13 |
+
0.26862954,
|
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+
0.26130258,
|
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+
0.27577711
|
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],
|
17 |
+
"merge_size": 2,
|
18 |
+
"patch_size": 14,
|
19 |
+
"processor_class": "Glm4vProcessor",
|
20 |
+
"resample": 3,
|
21 |
+
"rescale_factor": 0.00392156862745098,
|
22 |
+
"size": {
|
23 |
+
"longest_edge": 11760000,
|
24 |
+
"shortest_edge": 12544
|
25 |
+
},
|
26 |
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"temporal_patch_size": 2
|
27 |
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}
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special_tokens_map.json
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{
|
2 |
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"additional_special_tokens": [
|
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+
"<|endoftext|>",
|
4 |
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"[MASK]",
|
5 |
+
"[gMASK]",
|
6 |
+
"[sMASK]",
|
7 |
+
"<sop>",
|
8 |
+
"<eop>",
|
9 |
+
"<|system|>",
|
10 |
+
"<|user|>",
|
11 |
+
"<|assistant|>",
|
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"<|observation|>",
|
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"<|begin_of_image|>",
|
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"<|end_of_image|>",
|
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"<|begin_of_video|>",
|
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+
"<|end_of_video|>",
|
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+
"<|image|>",
|
18 |
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"<|video|>"
|
19 |
+
],
|
20 |
+
"eos_token": {
|
21 |
+
"content": "<|endoftext|>",
|
22 |
+
"lstrip": false,
|
23 |
+
"normalized": false,
|
24 |
+
"rstrip": false,
|
25 |
+
"single_word": false
|
26 |
+
},
|
27 |
+
"pad_token": {
|
28 |
+
"content": "<|endoftext|>",
|
29 |
+
"lstrip": false,
|
30 |
+
"normalized": false,
|
31 |
+
"rstrip": false,
|
32 |
+
"single_word": false
|
33 |
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}
|
34 |
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}
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tokenizer.json
ADDED
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version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d802c61882d225c2038222543d647b34120c74486437c98031edfdf7611e1c5f
|
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+
size 19968350
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tokenizer_config.json
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|
1 |
+
{
|
2 |
+
"added_tokens_decoder": {
|
3 |
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"151329": {
|
4 |
+
"content": "<|endoftext|>",
|
5 |
+
"lstrip": false,
|
6 |
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"normalized": false,
|
7 |
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"rstrip": false,
|
8 |
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"single_word": false,
|
9 |
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"special": true
|
10 |
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},
|
11 |
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"151330": {
|
12 |
+
"content": "[MASK]",
|
13 |
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"lstrip": false,
|
14 |
+
"normalized": false,
|
15 |
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"rstrip": false,
|
16 |
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"single_word": false,
|
17 |
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"special": true
|
18 |
+
},
|
19 |
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"151331": {
|
20 |
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"content": "[gMASK]",
|
21 |
+
"lstrip": false,
|
22 |
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"normalized": false,
|
23 |
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"rstrip": false,
|
24 |
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"single_word": false,
|
25 |
+
"special": true
|
26 |
+
},
|
27 |
+
"151332": {
|
28 |
+
"content": "[sMASK]",
|
29 |
+
"lstrip": false,
|
30 |
+
"normalized": false,
|
31 |
+
"rstrip": false,
|
32 |
+
"single_word": false,
|
33 |
+
"special": true
|
34 |
+
},
|
35 |
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|
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|
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|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
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|
1 |
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version https://git-lfs.github.com/spec/v1
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2 |
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oid sha256:4cb34fbd5694acb2e2adb1e804f002ff21e90c41256b812c6efeee7f824ac5d3
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3 |
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size 6929
|
video_preprocessor_config.json
ADDED
@@ -0,0 +1,42 @@
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|
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{
|
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|
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|
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|
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|
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|
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|
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|
31 |
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|
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|
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|
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}
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