Upload folder using huggingface_hub
Browse files- README.md +202 -0
- adapter_config.json +42 -0
- adapter_model.safetensors +3 -0
- added_tokens.json +130 -0
- checkpoint-1200/README.md +202 -0
- checkpoint-1200/adapter_config.json +42 -0
- checkpoint-1200/adapter_model.safetensors +3 -0
- checkpoint-1200/added_tokens.json +130 -0
- checkpoint-1200/merges.txt +0 -0
- checkpoint-1200/optimizer.pt +3 -0
- checkpoint-1200/rng_state.pth +3 -0
- checkpoint-1200/scheduler.pt +3 -0
- checkpoint-1200/special_tokens_map.json +53 -0
- checkpoint-1200/tokenizer.json +0 -0
- checkpoint-1200/tokenizer_config.json +1183 -0
- checkpoint-1200/trainer_state.json +633 -0
- checkpoint-1200/training_args.bin +3 -0
- checkpoint-1200/vocab.json +0 -0
- merges.txt +0 -0
- special_tokens_map.json +53 -0
- tokenizer.json +0 -0
- tokenizer_config.json +1183 -0
- training_args.bin +3 -0
- vocab.json +0 -0
README.md
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| 1 |
+
---
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| 2 |
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base_model: HuggingFaceTB/SmolVLM-256M-Instruct
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| 3 |
+
library_name: peft
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| 4 |
+
---
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| 5 |
+
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| 6 |
+
# Model Card for Model ID
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| 7 |
+
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| 8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
+
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| 10 |
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| 11 |
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| 12 |
+
## Model Details
|
| 13 |
+
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| 14 |
+
### Model Description
|
| 15 |
+
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| 16 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 17 |
+
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| 18 |
+
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| 19 |
+
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| 20 |
+
- **Developed by:** [More Information Needed]
|
| 21 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 22 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 23 |
+
- **Model type:** [More Information Needed]
|
| 24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 25 |
+
- **License:** [More Information Needed]
|
| 26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 27 |
+
|
| 28 |
+
### Model Sources [optional]
|
| 29 |
+
|
| 30 |
+
<!-- Provide the basic links for the model. -->
|
| 31 |
+
|
| 32 |
+
- **Repository:** [More Information Needed]
|
| 33 |
+
- **Paper [optional]:** [More Information Needed]
|
| 34 |
+
- **Demo [optional]:** [More Information Needed]
|
| 35 |
+
|
| 36 |
+
## Uses
|
| 37 |
+
|
| 38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 39 |
+
|
| 40 |
+
### Direct Use
|
| 41 |
+
|
| 42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 43 |
+
|
| 44 |
+
[More Information Needed]
|
| 45 |
+
|
| 46 |
+
### Downstream Use [optional]
|
| 47 |
+
|
| 48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 49 |
+
|
| 50 |
+
[More Information Needed]
|
| 51 |
+
|
| 52 |
+
### Out-of-Scope Use
|
| 53 |
+
|
| 54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 55 |
+
|
| 56 |
+
[More Information Needed]
|
| 57 |
+
|
| 58 |
+
## Bias, Risks, and Limitations
|
| 59 |
+
|
| 60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 61 |
+
|
| 62 |
+
[More Information Needed]
|
| 63 |
+
|
| 64 |
+
### Recommendations
|
| 65 |
+
|
| 66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 67 |
+
|
| 68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 69 |
+
|
| 70 |
+
## How to Get Started with the Model
|
| 71 |
+
|
| 72 |
+
Use the code below to get started with the model.
|
| 73 |
+
|
| 74 |
+
[More Information Needed]
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| 75 |
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|
| 76 |
+
## Training Details
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| 77 |
+
|
| 78 |
+
### Training Data
|
| 79 |
+
|
| 80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 81 |
+
|
| 82 |
+
[More Information Needed]
|
| 83 |
+
|
| 84 |
+
### Training Procedure
|
| 85 |
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|
| 86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 87 |
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|
| 88 |
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#### Preprocessing [optional]
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| 89 |
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|
| 90 |
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[More Information Needed]
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| 91 |
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|
| 92 |
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|
| 93 |
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#### Training Hyperparameters
|
| 94 |
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|
| 95 |
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- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 96 |
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|
| 97 |
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#### Speeds, Sizes, Times [optional]
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| 98 |
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|
| 99 |
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 100 |
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| 101 |
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[More Information Needed]
|
| 102 |
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|
| 103 |
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## Evaluation
|
| 104 |
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|
| 105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
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| 106 |
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| 107 |
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### Testing Data, Factors & Metrics
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| 108 |
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| 109 |
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#### Testing Data
|
| 110 |
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|
| 111 |
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<!-- This should link to a Dataset Card if possible. -->
|
| 112 |
+
|
| 113 |
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[More Information Needed]
|
| 114 |
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|
| 115 |
+
#### Factors
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| 116 |
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|
| 117 |
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 118 |
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| 119 |
+
[More Information Needed]
|
| 120 |
+
|
| 121 |
+
#### Metrics
|
| 122 |
+
|
| 123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 124 |
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| 125 |
+
[More Information Needed]
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| 126 |
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|
| 127 |
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### Results
|
| 128 |
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| 129 |
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[More Information Needed]
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| 130 |
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|
| 131 |
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#### Summary
|
| 132 |
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|
| 133 |
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| 134 |
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|
| 135 |
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## Model Examination [optional]
|
| 136 |
+
|
| 137 |
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<!-- Relevant interpretability work for the model goes here -->
|
| 138 |
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|
| 139 |
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[More Information Needed]
|
| 140 |
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|
| 141 |
+
## Environmental Impact
|
| 142 |
+
|
| 143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 144 |
+
|
| 145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 146 |
+
|
| 147 |
+
- **Hardware Type:** [More Information Needed]
|
| 148 |
+
- **Hours used:** [More Information Needed]
|
| 149 |
+
- **Cloud Provider:** [More Information Needed]
|
| 150 |
+
- **Compute Region:** [More Information Needed]
|
| 151 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 152 |
+
|
| 153 |
+
## Technical Specifications [optional]
|
| 154 |
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| 155 |
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### Model Architecture and Objective
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| 156 |
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| 157 |
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[More Information Needed]
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| 158 |
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| 159 |
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### Compute Infrastructure
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| 160 |
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| 161 |
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[More Information Needed]
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| 162 |
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| 163 |
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#### Hardware
|
| 164 |
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| 165 |
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[More Information Needed]
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| 166 |
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| 167 |
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#### Software
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| 168 |
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| 169 |
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[More Information Needed]
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| 170 |
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| 171 |
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## Citation [optional]
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| 172 |
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| 173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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| 174 |
+
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| 175 |
+
**BibTeX:**
|
| 176 |
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| 177 |
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[More Information Needed]
|
| 178 |
+
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| 179 |
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**APA:**
|
| 180 |
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| 181 |
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[More Information Needed]
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| 182 |
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|
| 183 |
+
## Glossary [optional]
|
| 184 |
+
|
| 185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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| 186 |
+
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| 187 |
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[More Information Needed]
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| 188 |
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| 189 |
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## More Information [optional]
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| 190 |
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| 191 |
+
[More Information Needed]
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| 192 |
+
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| 193 |
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## Model Card Authors [optional]
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| 194 |
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| 195 |
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[More Information Needed]
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| 196 |
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| 197 |
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## Model Card Contact
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| 198 |
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| 199 |
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[More Information Needed]
|
| 200 |
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### Framework versions
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| 201 |
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| 202 |
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- PEFT 0.14.0
|
adapter_config.json
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| 1 |
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{
|
| 2 |
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"alpha_pattern": {},
|
| 3 |
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"auto_mapping": {
|
| 4 |
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"base_model_class": "Idefics3ForConditionalGeneration",
|
| 5 |
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"parent_library": "transformers.models.idefics3.modeling_idefics3"
|
| 6 |
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},
|
| 7 |
+
"base_model_name_or_path": "HuggingFaceTB/SmolVLM-256M-Instruct",
|
| 8 |
+
"bias": "lora_only",
|
| 9 |
+
"eva_config": null,
|
| 10 |
+
"exclude_modules": null,
|
| 11 |
+
"fan_in_fan_out": false,
|
| 12 |
+
"inference_mode": true,
|
| 13 |
+
"init_lora_weights": "gaussian",
|
| 14 |
+
"layer_replication": null,
|
| 15 |
+
"layers_pattern": null,
|
| 16 |
+
"layers_to_transform": null,
|
| 17 |
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"loftq_config": {},
|
| 18 |
+
"lora_alpha": 16,
|
| 19 |
+
"lora_bias": false,
|
| 20 |
+
"lora_dropout": 0.1,
|
| 21 |
+
"megatron_config": null,
|
| 22 |
+
"megatron_core": "megatron.core",
|
| 23 |
+
"modules_to_save": [
|
| 24 |
+
"lm_head"
|
| 25 |
+
],
|
| 26 |
+
"peft_type": "LORA",
|
| 27 |
+
"r": 16,
|
| 28 |
+
"rank_pattern": {},
|
| 29 |
+
"revision": null,
|
| 30 |
+
"target_modules": [
|
| 31 |
+
"gate_proj",
|
| 32 |
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"q_proj",
|
| 33 |
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"down_proj",
|
| 34 |
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"v_proj",
|
| 35 |
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"up_proj",
|
| 36 |
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"o_proj",
|
| 37 |
+
"k_proj"
|
| 38 |
+
],
|
| 39 |
+
"task_type": null,
|
| 40 |
+
"use_dora": true,
|
| 41 |
+
"use_rslora": false
|
| 42 |
+
}
|
adapter_model.safetensors
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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 sha256:12cdca7da8de1fec1389a39d914e06d2a3e08cc0e89826fc8d85c6e8629617a2
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| 3 |
+
size 80687744
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added_tokens.json
ADDED
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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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|
| 1 |
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|
| 2 |
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|
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|
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|
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|
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|
| 129 |
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|
| 130 |
+
}
|
checkpoint-1200/README.md
ADDED
|
@@ -0,0 +1,202 @@
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|
|
| 1 |
+
---
|
| 2 |
+
base_model: HuggingFaceTB/SmolVLM-256M-Instruct
|
| 3 |
+
library_name: peft
|
| 4 |
+
---
|
| 5 |
+
|
| 6 |
+
# Model Card for Model ID
|
| 7 |
+
|
| 8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
|
| 12 |
+
## Model Details
|
| 13 |
+
|
| 14 |
+
### Model Description
|
| 15 |
+
|
| 16 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
- **Developed by:** [More Information Needed]
|
| 21 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 22 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 23 |
+
- **Model type:** [More Information Needed]
|
| 24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 25 |
+
- **License:** [More Information Needed]
|
| 26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 27 |
+
|
| 28 |
+
### Model Sources [optional]
|
| 29 |
+
|
| 30 |
+
<!-- Provide the basic links for the model. -->
|
| 31 |
+
|
| 32 |
+
- **Repository:** [More Information Needed]
|
| 33 |
+
- **Paper [optional]:** [More Information Needed]
|
| 34 |
+
- **Demo [optional]:** [More Information Needed]
|
| 35 |
+
|
| 36 |
+
## Uses
|
| 37 |
+
|
| 38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 39 |
+
|
| 40 |
+
### Direct Use
|
| 41 |
+
|
| 42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 43 |
+
|
| 44 |
+
[More Information Needed]
|
| 45 |
+
|
| 46 |
+
### Downstream Use [optional]
|
| 47 |
+
|
| 48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 49 |
+
|
| 50 |
+
[More Information Needed]
|
| 51 |
+
|
| 52 |
+
### Out-of-Scope Use
|
| 53 |
+
|
| 54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 55 |
+
|
| 56 |
+
[More Information Needed]
|
| 57 |
+
|
| 58 |
+
## Bias, Risks, and Limitations
|
| 59 |
+
|
| 60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 61 |
+
|
| 62 |
+
[More Information Needed]
|
| 63 |
+
|
| 64 |
+
### Recommendations
|
| 65 |
+
|
| 66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 67 |
+
|
| 68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 69 |
+
|
| 70 |
+
## How to Get Started with the Model
|
| 71 |
+
|
| 72 |
+
Use the code below to get started with the model.
|
| 73 |
+
|
| 74 |
+
[More Information Needed]
|
| 75 |
+
|
| 76 |
+
## Training Details
|
| 77 |
+
|
| 78 |
+
### Training Data
|
| 79 |
+
|
| 80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 81 |
+
|
| 82 |
+
[More Information Needed]
|
| 83 |
+
|
| 84 |
+
### Training Procedure
|
| 85 |
+
|
| 86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 87 |
+
|
| 88 |
+
#### Preprocessing [optional]
|
| 89 |
+
|
| 90 |
+
[More Information Needed]
|
| 91 |
+
|
| 92 |
+
|
| 93 |
+
#### Training Hyperparameters
|
| 94 |
+
|
| 95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 96 |
+
|
| 97 |
+
#### Speeds, Sizes, Times [optional]
|
| 98 |
+
|
| 99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 100 |
+
|
| 101 |
+
[More Information Needed]
|
| 102 |
+
|
| 103 |
+
## Evaluation
|
| 104 |
+
|
| 105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 106 |
+
|
| 107 |
+
### Testing Data, Factors & Metrics
|
| 108 |
+
|
| 109 |
+
#### Testing Data
|
| 110 |
+
|
| 111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 112 |
+
|
| 113 |
+
[More Information Needed]
|
| 114 |
+
|
| 115 |
+
#### Factors
|
| 116 |
+
|
| 117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 118 |
+
|
| 119 |
+
[More Information Needed]
|
| 120 |
+
|
| 121 |
+
#### Metrics
|
| 122 |
+
|
| 123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 124 |
+
|
| 125 |
+
[More Information Needed]
|
| 126 |
+
|
| 127 |
+
### Results
|
| 128 |
+
|
| 129 |
+
[More Information Needed]
|
| 130 |
+
|
| 131 |
+
#### Summary
|
| 132 |
+
|
| 133 |
+
|
| 134 |
+
|
| 135 |
+
## Model Examination [optional]
|
| 136 |
+
|
| 137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 138 |
+
|
| 139 |
+
[More Information Needed]
|
| 140 |
+
|
| 141 |
+
## Environmental Impact
|
| 142 |
+
|
| 143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 144 |
+
|
| 145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 146 |
+
|
| 147 |
+
- **Hardware Type:** [More Information Needed]
|
| 148 |
+
- **Hours used:** [More Information Needed]
|
| 149 |
+
- **Cloud Provider:** [More Information Needed]
|
| 150 |
+
- **Compute Region:** [More Information Needed]
|
| 151 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 152 |
+
|
| 153 |
+
## Technical Specifications [optional]
|
| 154 |
+
|
| 155 |
+
### Model Architecture and Objective
|
| 156 |
+
|
| 157 |
+
[More Information Needed]
|
| 158 |
+
|
| 159 |
+
### Compute Infrastructure
|
| 160 |
+
|
| 161 |
+
[More Information Needed]
|
| 162 |
+
|
| 163 |
+
#### Hardware
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
#### Software
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
## Citation [optional]
|
| 172 |
+
|
| 173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 174 |
+
|
| 175 |
+
**BibTeX:**
|
| 176 |
+
|
| 177 |
+
[More Information Needed]
|
| 178 |
+
|
| 179 |
+
**APA:**
|
| 180 |
+
|
| 181 |
+
[More Information Needed]
|
| 182 |
+
|
| 183 |
+
## Glossary [optional]
|
| 184 |
+
|
| 185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 186 |
+
|
| 187 |
+
[More Information Needed]
|
| 188 |
+
|
| 189 |
+
## More Information [optional]
|
| 190 |
+
|
| 191 |
+
[More Information Needed]
|
| 192 |
+
|
| 193 |
+
## Model Card Authors [optional]
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## Model Card Contact
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
### Framework versions
|
| 201 |
+
|
| 202 |
+
- PEFT 0.14.0
|
checkpoint-1200/adapter_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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|
|
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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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|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": {
|
| 4 |
+
"base_model_class": "Idefics3ForConditionalGeneration",
|
| 5 |
+
"parent_library": "transformers.models.idefics3.modeling_idefics3"
|
| 6 |
+
},
|
| 7 |
+
"base_model_name_or_path": "HuggingFaceTB/SmolVLM-256M-Instruct",
|
| 8 |
+
"bias": "lora_only",
|
| 9 |
+
"eva_config": null,
|
| 10 |
+
"exclude_modules": null,
|
| 11 |
+
"fan_in_fan_out": false,
|
| 12 |
+
"inference_mode": true,
|
| 13 |
+
"init_lora_weights": "gaussian",
|
| 14 |
+
"layer_replication": null,
|
| 15 |
+
"layers_pattern": null,
|
| 16 |
+
"layers_to_transform": null,
|
| 17 |
+
"loftq_config": {},
|
| 18 |
+
"lora_alpha": 16,
|
| 19 |
+
"lora_bias": false,
|
| 20 |
+
"lora_dropout": 0.1,
|
| 21 |
+
"megatron_config": null,
|
| 22 |
+
"megatron_core": "megatron.core",
|
| 23 |
+
"modules_to_save": [
|
| 24 |
+
"lm_head"
|
| 25 |
+
],
|
| 26 |
+
"peft_type": "LORA",
|
| 27 |
+
"r": 16,
|
| 28 |
+
"rank_pattern": {},
|
| 29 |
+
"revision": null,
|
| 30 |
+
"target_modules": [
|
| 31 |
+
"up_proj",
|
| 32 |
+
"q_proj",
|
| 33 |
+
"v_proj",
|
| 34 |
+
"gate_proj",
|
| 35 |
+
"o_proj",
|
| 36 |
+
"down_proj",
|
| 37 |
+
"k_proj"
|
| 38 |
+
],
|
| 39 |
+
"task_type": null,
|
| 40 |
+
"use_dora": true,
|
| 41 |
+
"use_rslora": false
|
| 42 |
+
}
|
checkpoint-1200/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c0485fa96b530a736885039eba6aaa59ac604c24c8bd5de539e245e16f10ae67
|
| 3 |
+
size 80687744
|
checkpoint-1200/added_tokens.json
ADDED
|
@@ -0,0 +1,130 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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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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|
|
|
|
|
|
|
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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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|
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|
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|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
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|
| 3 |
+
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|
| 4 |
+
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|
| 5 |
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"<image>": 49190,
|
| 6 |
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|
| 7 |
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|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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|
| 20 |
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|
| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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|
| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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|
| 29 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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|
| 33 |
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|
| 34 |
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|
| 35 |
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|
| 36 |
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|
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|
| 38 |
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|
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|
| 40 |
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|
| 41 |
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|
| 42 |
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|
| 43 |
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|
| 44 |
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|
| 45 |
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|
| 46 |
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|
| 47 |
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|
| 48 |
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|
| 49 |
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|
| 50 |
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|
| 51 |
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|
| 52 |
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|
| 53 |
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|
| 54 |
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|
| 55 |
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|
| 56 |
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|
| 57 |
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|
| 58 |
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|
| 59 |
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|
| 60 |
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|
| 61 |
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|
| 62 |
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|
| 63 |
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|
| 64 |
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|
| 65 |
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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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|
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|
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|
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|
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|
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|
| 84 |
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|
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|
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|
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|
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|
| 89 |
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|
| 90 |
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|
| 91 |
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|
| 92 |
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|
| 93 |
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|
| 94 |
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|
| 95 |
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|
| 96 |
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|
| 97 |
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|
| 98 |
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|
| 99 |
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|
| 100 |
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|
| 101 |
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|
| 102 |
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|
| 103 |
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|
| 104 |
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|
| 105 |
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|
| 106 |
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|
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|
| 108 |
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|
| 109 |
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|
| 110 |
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|
| 111 |
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|
| 112 |
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|
| 113 |
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|
| 114 |
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|
| 115 |
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|
| 116 |
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|
| 117 |
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|
| 118 |
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|
| 119 |
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|
| 120 |
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|
| 121 |
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|
| 122 |
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|
| 123 |
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|
| 124 |
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|
| 125 |
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|
| 126 |
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|
| 127 |
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|
| 128 |
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|
| 129 |
+
"<|reserved_special_token_9|>": 49200
|
| 130 |
+
}
|
checkpoint-1200/merges.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-1200/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:776a80f52f9243f2e5e3b13168467bef8aabb54f4c3f38866b18ae7f972fa945
|
| 3 |
+
size 162042215
|
checkpoint-1200/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7a5b45de00942cf77f4060436e114def392f760cbb44f2140a4c465b82552591
|
| 3 |
+
size 14244
|
checkpoint-1200/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8e2af830d790a2407a2e9524b05153720db9c18217e3ea6719144afbda513a99
|
| 3 |
+
size 1064
|
checkpoint-1200/special_tokens_map.json
ADDED
|
@@ -0,0 +1,53 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"additional_special_tokens": [
|
| 3 |
+
{
|
| 4 |
+
"content": "<fake_token_around_image>",
|
| 5 |
+
"lstrip": false,
|
| 6 |
+
"normalized": false,
|
| 7 |
+
"rstrip": false,
|
| 8 |
+
"single_word": false
|
| 9 |
+
},
|
| 10 |
+
{
|
| 11 |
+
"content": "<image>",
|
| 12 |
+
"lstrip": false,
|
| 13 |
+
"normalized": false,
|
| 14 |
+
"rstrip": false,
|
| 15 |
+
"single_word": false
|
| 16 |
+
},
|
| 17 |
+
{
|
| 18 |
+
"content": "<end_of_utterance>",
|
| 19 |
+
"lstrip": false,
|
| 20 |
+
"normalized": false,
|
| 21 |
+
"rstrip": false,
|
| 22 |
+
"single_word": false
|
| 23 |
+
}
|
| 24 |
+
],
|
| 25 |
+
"bos_token": {
|
| 26 |
+
"content": "<|im_start|>",
|
| 27 |
+
"lstrip": false,
|
| 28 |
+
"normalized": false,
|
| 29 |
+
"rstrip": false,
|
| 30 |
+
"single_word": false
|
| 31 |
+
},
|
| 32 |
+
"eos_token": {
|
| 33 |
+
"content": "<end_of_utterance>",
|
| 34 |
+
"lstrip": false,
|
| 35 |
+
"normalized": false,
|
| 36 |
+
"rstrip": false,
|
| 37 |
+
"single_word": false
|
| 38 |
+
},
|
| 39 |
+
"pad_token": {
|
| 40 |
+
"content": "<|im_end|>",
|
| 41 |
+
"lstrip": false,
|
| 42 |
+
"normalized": false,
|
| 43 |
+
"rstrip": false,
|
| 44 |
+
"single_word": false
|
| 45 |
+
},
|
| 46 |
+
"unk_token": {
|
| 47 |
+
"content": "<|endoftext|>",
|
| 48 |
+
"lstrip": false,
|
| 49 |
+
"normalized": false,
|
| 50 |
+
"rstrip": false,
|
| 51 |
+
"single_word": false
|
| 52 |
+
}
|
| 53 |
+
}
|
checkpoint-1200/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-1200/tokenizer_config.json
ADDED
|
@@ -0,0 +1,1183 @@
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|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
+
"added_tokens_decoder": {
|
| 4 |
+
"0": {
|
| 5 |
+
"content": "<|endoftext|>",
|
| 6 |
+
"lstrip": false,
|
| 7 |
+
"normalized": false,
|
| 8 |
+
"rstrip": false,
|
| 9 |
+
"single_word": false,
|
| 10 |
+
"special": true
|
| 11 |
+
},
|
| 12 |
+
"1": {
|
| 13 |
+
"content": "<|im_start|>",
|
| 14 |
+
"lstrip": false,
|
| 15 |
+
"normalized": false,
|
| 16 |
+
"rstrip": false,
|
| 17 |
+
"single_word": false,
|
| 18 |
+
"special": true
|
| 19 |
+
},
|
| 20 |
+
"2": {
|
| 21 |
+
"content": "<|im_end|>",
|
| 22 |
+
"lstrip": false,
|
| 23 |
+
"normalized": false,
|
| 24 |
+
"rstrip": false,
|
| 25 |
+
"single_word": false,
|
| 26 |
+
"special": true
|
| 27 |
+
},
|
| 28 |
+
"3": {
|
| 29 |
+
"content": "<repo_name>",
|
| 30 |
+
"lstrip": false,
|
| 31 |
+
"normalized": false,
|
| 32 |
+
"rstrip": false,
|
| 33 |
+
"single_word": false,
|
| 34 |
+
"special": true
|
| 35 |
+
},
|
| 36 |
+
"4": {
|
| 37 |
+
"content": "<reponame>",
|
| 38 |
+
"lstrip": false,
|
| 39 |
+
"normalized": false,
|
| 40 |
+
"rstrip": false,
|
| 41 |
+
"single_word": false,
|
| 42 |
+
"special": true
|
| 43 |
+
},
|
| 44 |
+
"5": {
|
| 45 |
+
"content": "<file_sep>",
|
| 46 |
+
"lstrip": false,
|
| 47 |
+
"normalized": false,
|
| 48 |
+
"rstrip": false,
|
| 49 |
+
"single_word": false,
|
| 50 |
+
"special": true
|
| 51 |
+
},
|
| 52 |
+
"6": {
|
| 53 |
+
"content": "<filename>",
|
| 54 |
+
"lstrip": false,
|
| 55 |
+
"normalized": false,
|
| 56 |
+
"rstrip": false,
|
| 57 |
+
"single_word": false,
|
| 58 |
+
"special": true
|
| 59 |
+
},
|
| 60 |
+
"7": {
|
| 61 |
+
"content": "<gh_stars>",
|
| 62 |
+
"lstrip": false,
|
| 63 |
+
"normalized": false,
|
| 64 |
+
"rstrip": false,
|
| 65 |
+
"single_word": false,
|
| 66 |
+
"special": true
|
| 67 |
+
},
|
| 68 |
+
"8": {
|
| 69 |
+
"content": "<issue_start>",
|
| 70 |
+
"lstrip": false,
|
| 71 |
+
"normalized": false,
|
| 72 |
+
"rstrip": false,
|
| 73 |
+
"single_word": false,
|
| 74 |
+
"special": true
|
| 75 |
+
},
|
| 76 |
+
"9": {
|
| 77 |
+
"content": "<issue_comment>",
|
| 78 |
+
"lstrip": false,
|
| 79 |
+
"normalized": false,
|
| 80 |
+
"rstrip": false,
|
| 81 |
+
"single_word": false,
|
| 82 |
+
"special": true
|
| 83 |
+
},
|
| 84 |
+
"10": {
|
| 85 |
+
"content": "<issue_closed>",
|
| 86 |
+
"lstrip": false,
|
| 87 |
+
"normalized": false,
|
| 88 |
+
"rstrip": false,
|
| 89 |
+
"single_word": false,
|
| 90 |
+
"special": true
|
| 91 |
+
},
|
| 92 |
+
"11": {
|
| 93 |
+
"content": "<jupyter_start>",
|
| 94 |
+
"lstrip": false,
|
| 95 |
+
"normalized": false,
|
| 96 |
+
"rstrip": false,
|
| 97 |
+
"single_word": false,
|
| 98 |
+
"special": true
|
| 99 |
+
},
|
| 100 |
+
"12": {
|
| 101 |
+
"content": "<jupyter_text>",
|
| 102 |
+
"lstrip": false,
|
| 103 |
+
"normalized": false,
|
| 104 |
+
"rstrip": false,
|
| 105 |
+
"single_word": false,
|
| 106 |
+
"special": true
|
| 107 |
+
},
|
| 108 |
+
"13": {
|
| 109 |
+
"content": "<jupyter_code>",
|
| 110 |
+
"lstrip": false,
|
| 111 |
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"normalized": false,
|
| 112 |
+
"rstrip": false,
|
| 113 |
+
"single_word": false,
|
| 114 |
+
"special": true
|
| 115 |
+
},
|
| 116 |
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"14": {
|
| 117 |
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"content": "<jupyter_output>",
|
| 118 |
+
"lstrip": false,
|
| 119 |
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"normalized": false,
|
| 120 |
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"rstrip": false,
|
| 121 |
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"single_word": false,
|
| 122 |
+
"special": true
|
| 123 |
+
},
|
| 124 |
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"15": {
|
| 125 |
+
"content": "<jupyter_script>",
|
| 126 |
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"lstrip": false,
|
| 127 |
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"normalized": false,
|
| 128 |
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"rstrip": false,
|
| 129 |
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"single_word": false,
|
| 130 |
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"special": true
|
| 131 |
+
},
|
| 132 |
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"16": {
|
| 133 |
+
"content": "<empty_output>",
|
| 134 |
+
"lstrip": false,
|
| 135 |
+
"normalized": false,
|
| 136 |
+
"rstrip": false,
|
| 137 |
+
"single_word": false,
|
| 138 |
+
"special": true
|
| 139 |
+
},
|
| 140 |
+
"49152": {
|
| 141 |
+
"content": "<global-img>",
|
| 142 |
+
"lstrip": false,
|
| 143 |
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"normalized": false,
|
| 144 |
+
"rstrip": false,
|
| 145 |
+
"single_word": false,
|
| 146 |
+
"special": true
|
| 147 |
+
},
|
| 148 |
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"49153": {
|
| 149 |
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"content": "<row_1_col_1>",
|
| 150 |
+
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|
| 151 |
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"normalized": false,
|
| 152 |
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"rstrip": false,
|
| 153 |
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"single_word": false,
|
| 154 |
+
"special": true
|
| 155 |
+
},
|
| 156 |
+
"49154": {
|
| 157 |
+
"content": "<row_1_col_2>",
|
| 158 |
+
"lstrip": false,
|
| 159 |
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"normalized": false,
|
| 160 |
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"rstrip": false,
|
| 161 |
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"single_word": false,
|
| 162 |
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"special": true
|
| 163 |
+
},
|
| 164 |
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"49155": {
|
| 165 |
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"content": "<row_1_col_3>",
|
| 166 |
+
"lstrip": false,
|
| 167 |
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|
| 168 |
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|
| 169 |
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|
| 170 |
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"special": true
|
| 171 |
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|
| 172 |
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"49156": {
|
| 173 |
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"content": "<row_1_col_4>",
|
| 174 |
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|
| 175 |
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|
| 176 |
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|
| 177 |
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|
| 178 |
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|
| 179 |
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},
|
| 180 |
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"49157": {
|
| 181 |
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"content": "<row_1_col_5>",
|
| 182 |
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|
| 183 |
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|
| 184 |
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|
| 185 |
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|
| 186 |
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"special": true
|
| 187 |
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},
|
| 188 |
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"49158": {
|
| 189 |
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"content": "<row_1_col_6>",
|
| 190 |
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|
| 191 |
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|
| 192 |
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|
| 193 |
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|
| 194 |
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"special": true
|
| 195 |
+
},
|
| 196 |
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"49159": {
|
| 197 |
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"content": "<row_2_col_1>",
|
| 198 |
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|
| 199 |
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|
| 200 |
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|
| 201 |
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|
| 202 |
+
"special": true
|
| 203 |
+
},
|
| 204 |
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"49160": {
|
| 205 |
+
"content": "<row_2_col_2>",
|
| 206 |
+
"lstrip": false,
|
| 207 |
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|
| 208 |
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|
| 209 |
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|
| 210 |
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|
| 211 |
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|
| 212 |
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"49161": {
|
| 213 |
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"content": "<row_2_col_3>",
|
| 214 |
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|
| 215 |
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|
| 216 |
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|
| 217 |
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|
| 218 |
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|
| 219 |
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},
|
| 220 |
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|
| 221 |
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"content": "<row_2_col_4>",
|
| 222 |
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|
| 223 |
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|
| 224 |
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|
| 225 |
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|
| 226 |
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|
| 227 |
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|
| 228 |
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"49163": {
|
| 229 |
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|
| 230 |
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|
| 231 |
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|
| 232 |
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| 233 |
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|
| 234 |
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| 235 |
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| 236 |
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|
| 237 |
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|
| 238 |
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|
| 239 |
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| 242 |
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"content": "<|reserved_special_token_78|>",
|
| 1078 |
+
"lstrip": false,
|
| 1079 |
+
"normalized": false,
|
| 1080 |
+
"rstrip": false,
|
| 1081 |
+
"single_word": false,
|
| 1082 |
+
"special": true
|
| 1083 |
+
},
|
| 1084 |
+
"49270": {
|
| 1085 |
+
"content": "<|reserved_special_token_79|>",
|
| 1086 |
+
"lstrip": false,
|
| 1087 |
+
"normalized": false,
|
| 1088 |
+
"rstrip": false,
|
| 1089 |
+
"single_word": false,
|
| 1090 |
+
"special": true
|
| 1091 |
+
},
|
| 1092 |
+
"49271": {
|
| 1093 |
+
"content": "<|reserved_special_token_80|>",
|
| 1094 |
+
"lstrip": false,
|
| 1095 |
+
"normalized": false,
|
| 1096 |
+
"rstrip": false,
|
| 1097 |
+
"single_word": false,
|
| 1098 |
+
"special": true
|
| 1099 |
+
},
|
| 1100 |
+
"49272": {
|
| 1101 |
+
"content": "<|reserved_special_token_81|>",
|
| 1102 |
+
"lstrip": false,
|
| 1103 |
+
"normalized": false,
|
| 1104 |
+
"rstrip": false,
|
| 1105 |
+
"single_word": false,
|
| 1106 |
+
"special": true
|
| 1107 |
+
},
|
| 1108 |
+
"49273": {
|
| 1109 |
+
"content": "<|reserved_special_token_82|>",
|
| 1110 |
+
"lstrip": false,
|
| 1111 |
+
"normalized": false,
|
| 1112 |
+
"rstrip": false,
|
| 1113 |
+
"single_word": false,
|
| 1114 |
+
"special": true
|
| 1115 |
+
},
|
| 1116 |
+
"49274": {
|
| 1117 |
+
"content": "<|reserved_special_token_83|>",
|
| 1118 |
+
"lstrip": false,
|
| 1119 |
+
"normalized": false,
|
| 1120 |
+
"rstrip": false,
|
| 1121 |
+
"single_word": false,
|
| 1122 |
+
"special": true
|
| 1123 |
+
},
|
| 1124 |
+
"49275": {
|
| 1125 |
+
"content": "<|reserved_special_token_84|>",
|
| 1126 |
+
"lstrip": false,
|
| 1127 |
+
"normalized": false,
|
| 1128 |
+
"rstrip": false,
|
| 1129 |
+
"single_word": false,
|
| 1130 |
+
"special": true
|
| 1131 |
+
},
|
| 1132 |
+
"49276": {
|
| 1133 |
+
"content": "<|reserved_special_token_85|>",
|
| 1134 |
+
"lstrip": false,
|
| 1135 |
+
"normalized": false,
|
| 1136 |
+
"rstrip": false,
|
| 1137 |
+
"single_word": false,
|
| 1138 |
+
"special": true
|
| 1139 |
+
},
|
| 1140 |
+
"49277": {
|
| 1141 |
+
"content": "<|reserved_special_token_86|>",
|
| 1142 |
+
"lstrip": false,
|
| 1143 |
+
"normalized": false,
|
| 1144 |
+
"rstrip": false,
|
| 1145 |
+
"single_word": false,
|
| 1146 |
+
"special": true
|
| 1147 |
+
},
|
| 1148 |
+
"49278": {
|
| 1149 |
+
"content": "<|reserved_special_token_87|>",
|
| 1150 |
+
"lstrip": false,
|
| 1151 |
+
"normalized": false,
|
| 1152 |
+
"rstrip": false,
|
| 1153 |
+
"single_word": false,
|
| 1154 |
+
"special": true
|
| 1155 |
+
},
|
| 1156 |
+
"49279": {
|
| 1157 |
+
"content": "<end_of_utterance>",
|
| 1158 |
+
"lstrip": false,
|
| 1159 |
+
"normalized": false,
|
| 1160 |
+
"rstrip": false,
|
| 1161 |
+
"single_word": false,
|
| 1162 |
+
"special": true
|
| 1163 |
+
}
|
| 1164 |
+
},
|
| 1165 |
+
"additional_special_tokens": [
|
| 1166 |
+
"<fake_token_around_image>",
|
| 1167 |
+
"<image>",
|
| 1168 |
+
"<end_of_utterance>"
|
| 1169 |
+
],
|
| 1170 |
+
"bos_token": "<|im_start|>",
|
| 1171 |
+
"chat_template": "<|im_start|>{% for message in messages %}{{message['role'] | capitalize}}{% if message['content'][0]['type'] == 'image' %}{{':'}}{% else %}{{': '}}{% endif %}{% for line in message['content'] %}{% if line['type'] == 'text' %}{{line['text']}}{% elif line['type'] == 'image' %}{{ '<image>' }}{% endif %}{% endfor %}<end_of_utterance>\n{% endfor %}{% if add_generation_prompt %}{{ 'Assistant:' }}{% endif %}",
|
| 1172 |
+
"clean_up_tokenization_spaces": false,
|
| 1173 |
+
"eos_token": "<end_of_utterance>",
|
| 1174 |
+
"extra_special_tokens": {},
|
| 1175 |
+
"legacy": false,
|
| 1176 |
+
"model_max_length": 8192,
|
| 1177 |
+
"pad_token": "<|im_end|>",
|
| 1178 |
+
"processor_class": "Idefics3Processor",
|
| 1179 |
+
"tokenizer_class": "GPT2Tokenizer",
|
| 1180 |
+
"truncation_side": "left",
|
| 1181 |
+
"unk_token": "<|endoftext|>",
|
| 1182 |
+
"vocab_size": 49152
|
| 1183 |
+
}
|
checkpoint-1200/trainer_state.json
ADDED
|
@@ -0,0 +1,633 @@
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|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 0.5759539236861051,
|
| 5 |
+
"eval_steps": 500,
|
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|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
+
"added_tokens_decoder": {
|
| 4 |
+
"0": {
|
| 5 |
+
"content": "<|endoftext|>",
|
| 6 |
+
"lstrip": false,
|
| 7 |
+
"normalized": false,
|
| 8 |
+
"rstrip": false,
|
| 9 |
+
"single_word": false,
|
| 10 |
+
"special": true
|
| 11 |
+
},
|
| 12 |
+
"1": {
|
| 13 |
+
"content": "<|im_start|>",
|
| 14 |
+
"lstrip": false,
|
| 15 |
+
"normalized": false,
|
| 16 |
+
"rstrip": false,
|
| 17 |
+
"single_word": false,
|
| 18 |
+
"special": true
|
| 19 |
+
},
|
| 20 |
+
"2": {
|
| 21 |
+
"content": "<|im_end|>",
|
| 22 |
+
"lstrip": false,
|
| 23 |
+
"normalized": false,
|
| 24 |
+
"rstrip": false,
|
| 25 |
+
"single_word": false,
|
| 26 |
+
"special": true
|
| 27 |
+
},
|
| 28 |
+
"3": {
|
| 29 |
+
"content": "<repo_name>",
|
| 30 |
+
"lstrip": false,
|
| 31 |
+
"normalized": false,
|
| 32 |
+
"rstrip": false,
|
| 33 |
+
"single_word": false,
|
| 34 |
+
"special": true
|
| 35 |
+
},
|
| 36 |
+
"4": {
|
| 37 |
+
"content": "<reponame>",
|
| 38 |
+
"lstrip": false,
|
| 39 |
+
"normalized": false,
|
| 40 |
+
"rstrip": false,
|
| 41 |
+
"single_word": false,
|
| 42 |
+
"special": true
|
| 43 |
+
},
|
| 44 |
+
"5": {
|
| 45 |
+
"content": "<file_sep>",
|
| 46 |
+
"lstrip": false,
|
| 47 |
+
"normalized": false,
|
| 48 |
+
"rstrip": false,
|
| 49 |
+
"single_word": false,
|
| 50 |
+
"special": true
|
| 51 |
+
},
|
| 52 |
+
"6": {
|
| 53 |
+
"content": "<filename>",
|
| 54 |
+
"lstrip": false,
|
| 55 |
+
"normalized": false,
|
| 56 |
+
"rstrip": false,
|
| 57 |
+
"single_word": false,
|
| 58 |
+
"special": true
|
| 59 |
+
},
|
| 60 |
+
"7": {
|
| 61 |
+
"content": "<gh_stars>",
|
| 62 |
+
"lstrip": false,
|
| 63 |
+
"normalized": false,
|
| 64 |
+
"rstrip": false,
|
| 65 |
+
"single_word": false,
|
| 66 |
+
"special": true
|
| 67 |
+
},
|
| 68 |
+
"8": {
|
| 69 |
+
"content": "<issue_start>",
|
| 70 |
+
"lstrip": false,
|
| 71 |
+
"normalized": false,
|
| 72 |
+
"rstrip": false,
|
| 73 |
+
"single_word": false,
|
| 74 |
+
"special": true
|
| 75 |
+
},
|
| 76 |
+
"9": {
|
| 77 |
+
"content": "<issue_comment>",
|
| 78 |
+
"lstrip": false,
|
| 79 |
+
"normalized": false,
|
| 80 |
+
"rstrip": false,
|
| 81 |
+
"single_word": false,
|
| 82 |
+
"special": true
|
| 83 |
+
},
|
| 84 |
+
"10": {
|
| 85 |
+
"content": "<issue_closed>",
|
| 86 |
+
"lstrip": false,
|
| 87 |
+
"normalized": false,
|
| 88 |
+
"rstrip": false,
|
| 89 |
+
"single_word": false,
|
| 90 |
+
"special": true
|
| 91 |
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},
|
| 92 |
+
"11": {
|
| 93 |
+
"content": "<jupyter_start>",
|
| 94 |
+
"lstrip": false,
|
| 95 |
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"normalized": false,
|
| 96 |
+
"rstrip": false,
|
| 97 |
+
"single_word": false,
|
| 98 |
+
"special": true
|
| 99 |
+
},
|
| 100 |
+
"12": {
|
| 101 |
+
"content": "<jupyter_text>",
|
| 102 |
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"lstrip": false,
|
| 103 |
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"normalized": false,
|
| 104 |
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"rstrip": false,
|
| 105 |
+
"single_word": false,
|
| 106 |
+
"special": true
|
| 107 |
+
},
|
| 108 |
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"13": {
|
| 109 |
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"content": "<jupyter_code>",
|
| 110 |
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|
| 111 |
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"normalized": false,
|
| 112 |
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|
| 113 |
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|
| 114 |
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"special": true
|
| 115 |
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|
| 116 |
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"14": {
|
| 117 |
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"content": "<jupyter_output>",
|
| 118 |
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|
| 119 |
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|
| 120 |
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|
| 121 |
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|
| 122 |
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"special": true
|
| 123 |
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},
|
| 124 |
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"15": {
|
| 125 |
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"content": "<jupyter_script>",
|
| 126 |
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|
| 127 |
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|
| 128 |
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|
| 129 |
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|
| 130 |
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|
| 131 |
+
},
|
| 132 |
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"16": {
|
| 133 |
+
"content": "<empty_output>",
|
| 134 |
+
"lstrip": false,
|
| 135 |
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"normalized": false,
|
| 136 |
+
"rstrip": false,
|
| 137 |
+
"single_word": false,
|
| 138 |
+
"special": true
|
| 139 |
+
},
|
| 140 |
+
"49152": {
|
| 141 |
+
"content": "<global-img>",
|
| 142 |
+
"lstrip": false,
|
| 143 |
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"normalized": false,
|
| 144 |
+
"rstrip": false,
|
| 145 |
+
"single_word": false,
|
| 146 |
+
"special": true
|
| 147 |
+
},
|
| 148 |
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"49153": {
|
| 149 |
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"content": "<row_1_col_1>",
|
| 150 |
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|
| 151 |
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|
| 152 |
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"rstrip": false,
|
| 153 |
+
"single_word": false,
|
| 154 |
+
"special": true
|
| 155 |
+
},
|
| 156 |
+
"49154": {
|
| 157 |
+
"content": "<row_1_col_2>",
|
| 158 |
+
"lstrip": false,
|
| 159 |
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|
| 160 |
+
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|
| 161 |
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|
| 162 |
+
"special": true
|
| 163 |
+
},
|
| 164 |
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"49155": {
|
| 165 |
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"content": "<row_1_col_3>",
|
| 166 |
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|
| 167 |
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|
| 168 |
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|
| 169 |
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|
| 170 |
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|
| 171 |
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},
|
| 172 |
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"49156": {
|
| 173 |
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"content": "<row_1_col_4>",
|
| 174 |
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|
| 175 |
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|
| 176 |
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|
| 177 |
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|
| 178 |
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"special": true
|
| 179 |
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},
|
| 180 |
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"49157": {
|
| 181 |
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"content": "<row_1_col_5>",
|
| 182 |
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"lstrip": false,
|
| 183 |
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|
| 184 |
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"rstrip": false,
|
| 185 |
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|
| 186 |
+
"special": true
|
| 187 |
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},
|
| 188 |
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"49158": {
|
| 189 |
+
"content": "<row_1_col_6>",
|
| 190 |
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|
| 191 |
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|
| 192 |
+
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|
| 193 |
+
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|
| 194 |
+
"special": true
|
| 195 |
+
},
|
| 196 |
+
"49159": {
|
| 197 |
+
"content": "<row_2_col_1>",
|
| 198 |
+
"lstrip": false,
|
| 199 |
+
"normalized": false,
|
| 200 |
+
"rstrip": false,
|
| 201 |
+
"single_word": false,
|
| 202 |
+
"special": true
|
| 203 |
+
},
|
| 204 |
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"49160": {
|
| 205 |
+
"content": "<row_2_col_2>",
|
| 206 |
+
"lstrip": false,
|
| 207 |
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|
| 208 |
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|
| 209 |
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|
| 210 |
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|
| 211 |
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},
|
| 212 |
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"49161": {
|
| 213 |
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"content": "<row_2_col_3>",
|
| 214 |
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|
| 215 |
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|
| 216 |
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|
| 217 |
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|
| 218 |
+
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|
| 219 |
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},
|
| 220 |
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|
| 221 |
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"content": "<row_2_col_4>",
|
| 222 |
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|
| 223 |
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|
| 224 |
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|
| 225 |
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|
| 226 |
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|
| 227 |
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|
| 228 |
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|
| 229 |
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|
| 230 |
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|
| 231 |
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|
| 232 |
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|
| 233 |
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|
| 234 |
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| 235 |
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|
| 236 |
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|
| 237 |
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|
| 238 |
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|
| 239 |
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|
| 240 |
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|
| 241 |
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|
| 242 |
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|
| 243 |
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|
| 244 |
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|
| 245 |
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|
| 246 |
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|
| 247 |
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|
| 248 |
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|
| 249 |
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|
| 250 |
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|
| 251 |
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|
| 252 |
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|
| 253 |
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|
| 254 |
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|
| 255 |
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|
| 256 |
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|
| 257 |
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| 258 |
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| 259 |
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|
| 260 |
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|
| 261 |
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|
| 262 |
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| 263 |
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|
| 264 |
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|
| 265 |
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|
| 266 |
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| 267 |
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| 268 |
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|
| 269 |
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|
| 270 |
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| 271 |
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|
| 272 |
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|
| 273 |
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|
| 274 |
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| 275 |
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|
| 276 |
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|
| 277 |
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|
| 278 |
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|
| 279 |
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|
| 280 |
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|
| 281 |
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|
| 282 |
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|
| 283 |
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},
|
| 284 |
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|
| 285 |
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|
| 286 |
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|
| 287 |
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|
| 288 |
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| 289 |
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| 290 |
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|
| 291 |
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|
| 292 |
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|
| 293 |
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|
| 294 |
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| 295 |
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| 297 |
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| 298 |
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| 299 |
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| 300 |
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| 301 |
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| 302 |
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| 303 |
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| 304 |
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| 306 |
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| 308 |
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| 309 |
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| 310 |
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| 311 |
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| 312 |
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| 313 |
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| 314 |
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| 315 |
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| 316 |
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| 317 |
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| 318 |
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| 319 |
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| 321 |
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| 1153 |
+
"single_word": false,
|
| 1154 |
+
"special": true
|
| 1155 |
+
},
|
| 1156 |
+
"49279": {
|
| 1157 |
+
"content": "<end_of_utterance>",
|
| 1158 |
+
"lstrip": false,
|
| 1159 |
+
"normalized": false,
|
| 1160 |
+
"rstrip": false,
|
| 1161 |
+
"single_word": false,
|
| 1162 |
+
"special": true
|
| 1163 |
+
}
|
| 1164 |
+
},
|
| 1165 |
+
"additional_special_tokens": [
|
| 1166 |
+
"<fake_token_around_image>",
|
| 1167 |
+
"<image>",
|
| 1168 |
+
"<end_of_utterance>"
|
| 1169 |
+
],
|
| 1170 |
+
"bos_token": "<|im_start|>",
|
| 1171 |
+
"chat_template": "<|im_start|>{% for message in messages %}{{message['role'] | capitalize}}{% if message['content'][0]['type'] == 'image' %}{{':'}}{% else %}{{': '}}{% endif %}{% for line in message['content'] %}{% if line['type'] == 'text' %}{{line['text']}}{% elif line['type'] == 'image' %}{{ '<image>' }}{% endif %}{% endfor %}<end_of_utterance>\n{% endfor %}{% if add_generation_prompt %}{{ 'Assistant:' }}{% endif %}",
|
| 1172 |
+
"clean_up_tokenization_spaces": false,
|
| 1173 |
+
"eos_token": "<end_of_utterance>",
|
| 1174 |
+
"extra_special_tokens": {},
|
| 1175 |
+
"legacy": false,
|
| 1176 |
+
"model_max_length": 8192,
|
| 1177 |
+
"pad_token": "<|im_end|>",
|
| 1178 |
+
"processor_class": "Idefics3Processor",
|
| 1179 |
+
"tokenizer_class": "GPT2Tokenizer",
|
| 1180 |
+
"truncation_side": "left",
|
| 1181 |
+
"unk_token": "<|endoftext|>",
|
| 1182 |
+
"vocab_size": 49152
|
| 1183 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c6ee637c364aba1018bd62b6620e2d5af04ca8c3517478cd6e5f8b68c1b38bb9
|
| 3 |
+
size 5624
|
vocab.json
ADDED
|
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|
|
|