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- .gitattributes +15 -0
- gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1000/README.md +208 -0
- gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1000/adapter_config.json +183 -0
- gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1000/adapter_model.safetensors +3 -0
- gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1000/added_tokens.json +3 -0
- gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1000/chat_template.jinja +47 -0
- gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1000/optimizer.pt +3 -0
- gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1000/preprocessor_config.json +39 -0
- gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1000/processor_config.json +4 -0
- gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1000/rng_state_0.pth +3 -0
- gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1000/rng_state_1.pth +3 -0
- gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1000/scheduler.pt +3 -0
- gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1000/special_tokens_map.json +33 -0
- gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1000/tokenizer.json +3 -0
- gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1000/tokenizer.model +3 -0
- gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1000/tokenizer_config.json +0 -0
- gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1000/trainer_state.json +104 -0
- gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1000/training_args.bin +3 -0
- gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1500/README.md +208 -0
- gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1500/adapter_config.json +183 -0
- gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1500/adapter_model.safetensors +3 -0
- gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1500/added_tokens.json +3 -0
- gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1500/chat_template.jinja +47 -0
- gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1500/optimizer.pt +3 -0
- gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1500/preprocessor_config.json +39 -0
- gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1500/processor_config.json +4 -0
- gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1500/rng_state_0.pth +3 -0
- gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1500/rng_state_1.pth +3 -0
- gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1500/scheduler.pt +3 -0
- gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1500/special_tokens_map.json +33 -0
- gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1500/tokenizer.json +3 -0
- gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1500/tokenizer.model +3 -0
- gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1500/tokenizer_config.json +0 -0
- gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1500/trainer_state.json +139 -0
- gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1500/training_args.bin +3 -0
- gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-2000/README.md +208 -0
- gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-2000/adapter_config.json +183 -0
- gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-2000/adapter_model.safetensors +3 -0
- gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-2000/added_tokens.json +3 -0
- gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-2000/chat_template.jinja +47 -0
- gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-2000/optimizer.pt +3 -0
- gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-2000/preprocessor_config.json +39 -0
- gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-2000/processor_config.json +4 -0
- gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-2000/rng_state_0.pth +3 -0
- gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-2000/rng_state_1.pth +3 -0
- gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-2000/scheduler.pt +3 -0
- gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-2000/special_tokens_map.json +33 -0
- gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-2000/tokenizer.json +3 -0
- gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-2000/tokenizer.model +3 -0
- gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-2000/tokenizer_config.json +0 -0
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gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1000/README.md
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| 1 |
+
---
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| 2 |
+
base_model: google/gemma-3-12b-it
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| 3 |
+
library_name: peft
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| 4 |
+
pipeline_tag: text-generation
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+
tags:
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| 6 |
+
- base_model:adapter:google/gemma-3-12b-it
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| 7 |
+
- llama-factory
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| 8 |
+
- lora
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| 9 |
+
- transformers
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| 10 |
+
---
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| 11 |
+
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| 12 |
+
# Model Card for Model ID
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| 13 |
+
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| 14 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 15 |
+
|
| 16 |
+
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| 17 |
+
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| 18 |
+
## Model Details
|
| 19 |
+
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| 20 |
+
### Model Description
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| 21 |
+
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| 22 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 23 |
+
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| 24 |
+
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| 25 |
+
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| 26 |
+
- **Developed by:** [More Information Needed]
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| 27 |
+
- **Funded by [optional]:** [More Information Needed]
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| 28 |
+
- **Shared by [optional]:** [More Information Needed]
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| 29 |
+
- **Model type:** [More Information Needed]
|
| 30 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 31 |
+
- **License:** [More Information Needed]
|
| 32 |
+
- **Finetuned from model [optional]:** [More Information Needed]
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| 33 |
+
|
| 34 |
+
### Model Sources [optional]
|
| 35 |
+
|
| 36 |
+
<!-- Provide the basic links for the model. -->
|
| 37 |
+
|
| 38 |
+
- **Repository:** [More Information Needed]
|
| 39 |
+
- **Paper [optional]:** [More Information Needed]
|
| 40 |
+
- **Demo [optional]:** [More Information Needed]
|
| 41 |
+
|
| 42 |
+
## Uses
|
| 43 |
+
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| 44 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 45 |
+
|
| 46 |
+
### Direct Use
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| 47 |
+
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| 48 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 49 |
+
|
| 50 |
+
[More Information Needed]
|
| 51 |
+
|
| 52 |
+
### Downstream Use [optional]
|
| 53 |
+
|
| 54 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 55 |
+
|
| 56 |
+
[More Information Needed]
|
| 57 |
+
|
| 58 |
+
### Out-of-Scope Use
|
| 59 |
+
|
| 60 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 61 |
+
|
| 62 |
+
[More Information Needed]
|
| 63 |
+
|
| 64 |
+
## Bias, Risks, and Limitations
|
| 65 |
+
|
| 66 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 67 |
+
|
| 68 |
+
[More Information Needed]
|
| 69 |
+
|
| 70 |
+
### Recommendations
|
| 71 |
+
|
| 72 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 73 |
+
|
| 74 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 75 |
+
|
| 76 |
+
## How to Get Started with the Model
|
| 77 |
+
|
| 78 |
+
Use the code below to get started with the model.
|
| 79 |
+
|
| 80 |
+
[More Information Needed]
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| 81 |
+
|
| 82 |
+
## Training Details
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| 83 |
+
|
| 84 |
+
### Training Data
|
| 85 |
+
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| 86 |
+
<!-- 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. -->
|
| 87 |
+
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| 88 |
+
[More Information Needed]
|
| 89 |
+
|
| 90 |
+
### Training Procedure
|
| 91 |
+
|
| 92 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 93 |
+
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| 94 |
+
#### Preprocessing [optional]
|
| 95 |
+
|
| 96 |
+
[More Information Needed]
|
| 97 |
+
|
| 98 |
+
|
| 99 |
+
#### Training Hyperparameters
|
| 100 |
+
|
| 101 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 102 |
+
|
| 103 |
+
#### Speeds, Sizes, Times [optional]
|
| 104 |
+
|
| 105 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 106 |
+
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| 107 |
+
[More Information Needed]
|
| 108 |
+
|
| 109 |
+
## Evaluation
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| 110 |
+
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| 111 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 112 |
+
|
| 113 |
+
### Testing Data, Factors & Metrics
|
| 114 |
+
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| 115 |
+
#### Testing Data
|
| 116 |
+
|
| 117 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 118 |
+
|
| 119 |
+
[More Information Needed]
|
| 120 |
+
|
| 121 |
+
#### Factors
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| 122 |
+
|
| 123 |
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 124 |
+
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| 125 |
+
[More Information Needed]
|
| 126 |
+
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| 127 |
+
#### Metrics
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| 128 |
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|
| 129 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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| 130 |
+
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| 131 |
+
[More Information Needed]
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| 132 |
+
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| 133 |
+
### Results
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| 134 |
+
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| 135 |
+
[More Information Needed]
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| 136 |
+
|
| 137 |
+
#### Summary
|
| 138 |
+
|
| 139 |
+
|
| 140 |
+
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| 141 |
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## Model Examination [optional]
|
| 142 |
+
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| 143 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 144 |
+
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| 145 |
+
[More Information Needed]
|
| 146 |
+
|
| 147 |
+
## Environmental Impact
|
| 148 |
+
|
| 149 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 150 |
+
|
| 151 |
+
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).
|
| 152 |
+
|
| 153 |
+
- **Hardware Type:** [More Information Needed]
|
| 154 |
+
- **Hours used:** [More Information Needed]
|
| 155 |
+
- **Cloud Provider:** [More Information Needed]
|
| 156 |
+
- **Compute Region:** [More Information Needed]
|
| 157 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 158 |
+
|
| 159 |
+
## Technical Specifications [optional]
|
| 160 |
+
|
| 161 |
+
### Model Architecture and Objective
|
| 162 |
+
|
| 163 |
+
[More Information Needed]
|
| 164 |
+
|
| 165 |
+
### Compute Infrastructure
|
| 166 |
+
|
| 167 |
+
[More Information Needed]
|
| 168 |
+
|
| 169 |
+
#### Hardware
|
| 170 |
+
|
| 171 |
+
[More Information Needed]
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| 172 |
+
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| 173 |
+
#### Software
|
| 174 |
+
|
| 175 |
+
[More Information Needed]
|
| 176 |
+
|
| 177 |
+
## Citation [optional]
|
| 178 |
+
|
| 179 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 180 |
+
|
| 181 |
+
**BibTeX:**
|
| 182 |
+
|
| 183 |
+
[More Information Needed]
|
| 184 |
+
|
| 185 |
+
**APA:**
|
| 186 |
+
|
| 187 |
+
[More Information Needed]
|
| 188 |
+
|
| 189 |
+
## Glossary [optional]
|
| 190 |
+
|
| 191 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 192 |
+
|
| 193 |
+
[More Information Needed]
|
| 194 |
+
|
| 195 |
+
## More Information [optional]
|
| 196 |
+
|
| 197 |
+
[More Information Needed]
|
| 198 |
+
|
| 199 |
+
## Model Card Authors [optional]
|
| 200 |
+
|
| 201 |
+
[More Information Needed]
|
| 202 |
+
|
| 203 |
+
## Model Card Contact
|
| 204 |
+
|
| 205 |
+
[More Information Needed]
|
| 206 |
+
### Framework versions
|
| 207 |
+
|
| 208 |
+
- PEFT 0.17.1
|
gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1000/adapter_config.json
ADDED
|
@@ -0,0 +1,183 @@
|
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|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "google/gemma-3-12b-it",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"corda_config": null,
|
| 7 |
+
"eva_config": null,
|
| 8 |
+
"exclude_modules": null,
|
| 9 |
+
"fan_in_fan_out": false,
|
| 10 |
+
"inference_mode": true,
|
| 11 |
+
"init_lora_weights": true,
|
| 12 |
+
"layer_replication": null,
|
| 13 |
+
"layers_pattern": null,
|
| 14 |
+
"layers_to_transform": null,
|
| 15 |
+
"loftq_config": {},
|
| 16 |
+
"lora_alpha": 16,
|
| 17 |
+
"lora_bias": false,
|
| 18 |
+
"lora_dropout": 0.1,
|
| 19 |
+
"megatron_config": null,
|
| 20 |
+
"megatron_core": "megatron.core",
|
| 21 |
+
"modules_to_save": null,
|
| 22 |
+
"peft_type": "LORA",
|
| 23 |
+
"qalora_group_size": 16,
|
| 24 |
+
"r": 8,
|
| 25 |
+
"rank_pattern": {},
|
| 26 |
+
"revision": null,
|
| 27 |
+
"target_modules": [
|
| 28 |
+
"45.self_attn.k_proj",
|
| 29 |
+
"language_model.layers.26.self_attn.v_proj",
|
| 30 |
+
"language_model.layers.19.self_attn.v_proj",
|
| 31 |
+
"33.self_attn.v_proj",
|
| 32 |
+
"language_model.layers.10.self_attn.k_proj",
|
| 33 |
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"language_model.layers.18.self_attn.k_proj",
|
| 34 |
+
"31.self_attn.k_proj",
|
| 35 |
+
"41.self_attn.k_proj",
|
| 36 |
+
"language_model.layers.22.self_attn.k_proj",
|
| 37 |
+
"language_model.layers.17.self_attn.k_proj",
|
| 38 |
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"language_model.layers.23.self_attn.v_proj",
|
| 39 |
+
"30.self_attn.k_proj",
|
| 40 |
+
"46.self_attn.q_proj",
|
| 41 |
+
"language_model.layers.11.self_attn.v_proj",
|
| 42 |
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"language_model.layers.19.self_attn.k_proj",
|
| 43 |
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"38.self_attn.k_proj",
|
| 44 |
+
"30.self_attn.v_proj",
|
| 45 |
+
"42.self_attn.k_proj",
|
| 46 |
+
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|
| 47 |
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|
| 48 |
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"35.self_attn.k_proj",
|
| 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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|
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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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|
| 75 |
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|
| 76 |
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|
| 77 |
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|
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|
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|
| 80 |
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|
| 81 |
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|
| 82 |
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|
| 83 |
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|
| 84 |
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|
| 85 |
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|
| 86 |
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|
| 87 |
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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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|
| 107 |
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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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|
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|
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|
| 118 |
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|
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|
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|
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|
| 122 |
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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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|
| 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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|
| 137 |
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|
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|
| 139 |
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|
| 140 |
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|
| 141 |
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|
| 142 |
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|
| 143 |
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|
| 144 |
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| 146 |
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|
| 147 |
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|
| 148 |
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|
| 149 |
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|
| 151 |
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|
| 152 |
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|
| 153 |
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|
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| 155 |
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|
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|
| 157 |
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|
| 158 |
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|
| 159 |
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|
| 160 |
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|
| 161 |
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|
| 162 |
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|
| 163 |
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|
| 164 |
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|
| 165 |
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|
| 166 |
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|
| 167 |
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|
| 168 |
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"37.self_attn.q_proj",
|
| 169 |
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|
| 170 |
+
"36.self_attn.q_proj",
|
| 171 |
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"up_proj",
|
| 172 |
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"27.self_attn.k_proj",
|
| 173 |
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|
| 174 |
+
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|
| 175 |
+
"language_model.layers.17.self_attn.v_proj"
|
| 176 |
+
],
|
| 177 |
+
"target_parameters": null,
|
| 178 |
+
"task_type": "CAUSAL_LM",
|
| 179 |
+
"trainable_token_indices": null,
|
| 180 |
+
"use_dora": false,
|
| 181 |
+
"use_qalora": false,
|
| 182 |
+
"use_rslora": false
|
| 183 |
+
}
|
gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1000/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:957f53d715467ed75bf93e4c863716ae1f45b9997939b00c3d419efb1fa81e1a
|
| 3 |
+
size 131040264
|
gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1000/added_tokens.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"<image_soft_token>": 262144
|
| 3 |
+
}
|
gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1000/chat_template.jinja
ADDED
|
@@ -0,0 +1,47 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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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 |
+
{{ bos_token }}
|
| 2 |
+
{%- if messages[0]['role'] == 'system' -%}
|
| 3 |
+
{%- if messages[0]['content'] is string -%}
|
| 4 |
+
{%- set first_user_prefix = messages[0]['content'] + '
|
| 5 |
+
|
| 6 |
+
' -%}
|
| 7 |
+
{%- else -%}
|
| 8 |
+
{%- set first_user_prefix = messages[0]['content'][0]['text'] + '
|
| 9 |
+
|
| 10 |
+
' -%}
|
| 11 |
+
{%- endif -%}
|
| 12 |
+
{%- set loop_messages = messages[1:] -%}
|
| 13 |
+
{%- else -%}
|
| 14 |
+
{%- set first_user_prefix = "" -%}
|
| 15 |
+
{%- set loop_messages = messages -%}
|
| 16 |
+
{%- endif -%}
|
| 17 |
+
{%- for message in loop_messages -%}
|
| 18 |
+
{%- if (message['role'] == 'user') != (loop.index0 % 2 == 0) -%}
|
| 19 |
+
{{ raise_exception("Conversation roles must alternate user/assistant/user/assistant/...") }}
|
| 20 |
+
{%- endif -%}
|
| 21 |
+
{%- if (message['role'] == 'assistant') -%}
|
| 22 |
+
{%- set role = "model" -%}
|
| 23 |
+
{%- else -%}
|
| 24 |
+
{%- set role = message['role'] -%}
|
| 25 |
+
{%- endif -%}
|
| 26 |
+
{{ '<start_of_turn>' + role + '
|
| 27 |
+
' + (first_user_prefix if loop.first else "") }}
|
| 28 |
+
{%- if message['content'] is string -%}
|
| 29 |
+
{{ message['content'] | trim }}
|
| 30 |
+
{%- elif message['content'] is iterable -%}
|
| 31 |
+
{%- for item in message['content'] -%}
|
| 32 |
+
{%- if item['type'] == 'image' -%}
|
| 33 |
+
{{ '<start_of_image>' }}
|
| 34 |
+
{%- elif item['type'] == 'text' -%}
|
| 35 |
+
{{ item['text'] | trim }}
|
| 36 |
+
{%- endif -%}
|
| 37 |
+
{%- endfor -%}
|
| 38 |
+
{%- else -%}
|
| 39 |
+
{{ raise_exception("Invalid content type") }}
|
| 40 |
+
{%- endif -%}
|
| 41 |
+
{{ '<end_of_turn>
|
| 42 |
+
' }}
|
| 43 |
+
{%- endfor -%}
|
| 44 |
+
{%- if add_generation_prompt -%}
|
| 45 |
+
{{'<start_of_turn>model
|
| 46 |
+
'}}
|
| 47 |
+
{%- endif -%}
|
gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1000/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5de5e8a63f6c3c4b02297e58ec0448d97c42348698008d16cb938aa54fea87e1
|
| 3 |
+
size 262458115
|
gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1000/preprocessor_config.json
ADDED
|
@@ -0,0 +1,39 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"crop_size": null,
|
| 3 |
+
"data_format": "channels_first",
|
| 4 |
+
"default_to_square": true,
|
| 5 |
+
"device": null,
|
| 6 |
+
"disable_grouping": null,
|
| 7 |
+
"do_center_crop": null,
|
| 8 |
+
"do_convert_rgb": null,
|
| 9 |
+
"do_normalize": true,
|
| 10 |
+
"do_pad": null,
|
| 11 |
+
"do_pan_and_scan": null,
|
| 12 |
+
"do_rescale": true,
|
| 13 |
+
"do_resize": true,
|
| 14 |
+
"image_mean": [
|
| 15 |
+
0.5,
|
| 16 |
+
0.5,
|
| 17 |
+
0.5
|
| 18 |
+
],
|
| 19 |
+
"image_processor_type": "Gemma3ImageProcessorFast",
|
| 20 |
+
"image_seq_length": 256,
|
| 21 |
+
"image_std": [
|
| 22 |
+
0.5,
|
| 23 |
+
0.5,
|
| 24 |
+
0.5
|
| 25 |
+
],
|
| 26 |
+
"input_data_format": null,
|
| 27 |
+
"pad_size": null,
|
| 28 |
+
"pan_and_scan_max_num_crops": null,
|
| 29 |
+
"pan_and_scan_min_crop_size": null,
|
| 30 |
+
"pan_and_scan_min_ratio_to_activate": null,
|
| 31 |
+
"processor_class": "Gemma3Processor",
|
| 32 |
+
"resample": 2,
|
| 33 |
+
"rescale_factor": 0.00392156862745098,
|
| 34 |
+
"return_tensors": null,
|
| 35 |
+
"size": {
|
| 36 |
+
"height": 896,
|
| 37 |
+
"width": 896
|
| 38 |
+
}
|
| 39 |
+
}
|
gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1000/processor_config.json
ADDED
|
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"image_seq_length": 256,
|
| 3 |
+
"processor_class": "Gemma3Processor"
|
| 4 |
+
}
|
gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1000/rng_state_0.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:b35427a52c2efa0fec120cbb82740a723aa8d3e013602949cd14e4d8478d1643
|
| 3 |
+
size 14917
|
gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1000/rng_state_1.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:9d28cccba7c0c8f513cc13c0161799b66265594f5d089d75bdeeb0b6f8e034e0
|
| 3 |
+
size 14917
|
gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1000/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:7f607abe2a990f88222f8b88ece6b196c0805a49700f255922f6acb3dce633a2
|
| 3 |
+
size 1465
|
gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1000/special_tokens_map.json
ADDED
|
@@ -0,0 +1,33 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"boi_token": "<start_of_image>",
|
| 3 |
+
"bos_token": {
|
| 4 |
+
"content": "<bos>",
|
| 5 |
+
"lstrip": false,
|
| 6 |
+
"normalized": false,
|
| 7 |
+
"rstrip": false,
|
| 8 |
+
"single_word": false
|
| 9 |
+
},
|
| 10 |
+
"eoi_token": "<end_of_image>",
|
| 11 |
+
"eos_token": {
|
| 12 |
+
"content": "<end_of_turn>",
|
| 13 |
+
"lstrip": false,
|
| 14 |
+
"normalized": false,
|
| 15 |
+
"rstrip": false,
|
| 16 |
+
"single_word": false
|
| 17 |
+
},
|
| 18 |
+
"image_token": "<image_soft_token>",
|
| 19 |
+
"pad_token": {
|
| 20 |
+
"content": "<pad>",
|
| 21 |
+
"lstrip": false,
|
| 22 |
+
"normalized": false,
|
| 23 |
+
"rstrip": false,
|
| 24 |
+
"single_word": false
|
| 25 |
+
},
|
| 26 |
+
"unk_token": {
|
| 27 |
+
"content": "<unk>",
|
| 28 |
+
"lstrip": false,
|
| 29 |
+
"normalized": false,
|
| 30 |
+
"rstrip": false,
|
| 31 |
+
"single_word": false
|
| 32 |
+
}
|
| 33 |
+
}
|
gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1000/tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:4667f2089529e8e7657cfb6d1c19910ae71ff5f28aa7ab2ff2763330affad795
|
| 3 |
+
size 33384568
|
gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1000/tokenizer.model
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:1299c11d7cf632ef3b4e11937501358ada021bbdf7c47638d13c0ee982f2e79c
|
| 3 |
+
size 4689074
|
gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1000/tokenizer_config.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1000/trainer_state.json
ADDED
|
@@ -0,0 +1,104 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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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 |
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{
|
| 2 |
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|
| 3 |
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| 4 |
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| 5 |
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| 6 |
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| 7 |
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| 8 |
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|
| 9 |
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"is_local_process_zero": true,
|
| 10 |
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"is_world_process_zero": true,
|
| 11 |
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"log_history": [
|
| 12 |
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{
|
| 13 |
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| 16 |
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| 17 |
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| 18 |
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| 19 |
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{
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| 20 |
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| 21 |
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| 22 |
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| 23 |
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"loss": 9.601,
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| 24 |
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"step": 200
|
| 25 |
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},
|
| 26 |
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{
|
| 27 |
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"epoch": 0.0005027669991283277,
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| 28 |
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|
| 29 |
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|
| 30 |
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"loss": 6.6882,
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| 31 |
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"step": 300
|
| 32 |
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},
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| 33 |
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{
|
| 34 |
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|
| 35 |
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"grad_norm": 9.027195930480957,
|
| 36 |
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| 37 |
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| 38 |
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|
| 39 |
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| 40 |
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{
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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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},
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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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},
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| 54 |
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{
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| 55 |
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|
| 56 |
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| 58 |
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| 59 |
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|
| 60 |
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},
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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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| 66 |
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|
| 67 |
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},
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| 68 |
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{
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| 69 |
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|
| 70 |
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| 71 |
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| 72 |
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|
| 74 |
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| 75 |
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{
|
| 76 |
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| 77 |
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| 80 |
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| 81 |
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}
|
| 82 |
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],
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| 83 |
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|
| 84 |
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|
| 85 |
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|
| 87 |
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|
| 88 |
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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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}
|
gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1000/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:089ea3461a5d21a09ac904572b0a994bbb43c806a83762f7511b05f9b263664b
|
| 3 |
+
size 6225
|
gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1500/README.md
ADDED
|
@@ -0,0 +1,208 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
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|
| 1 |
+
---
|
| 2 |
+
base_model: google/gemma-3-12b-it
|
| 3 |
+
library_name: peft
|
| 4 |
+
pipeline_tag: text-generation
|
| 5 |
+
tags:
|
| 6 |
+
- base_model:adapter:google/gemma-3-12b-it
|
| 7 |
+
- llama-factory
|
| 8 |
+
- lora
|
| 9 |
+
- transformers
|
| 10 |
+
---
|
| 11 |
+
|
| 12 |
+
# Model Card for Model ID
|
| 13 |
+
|
| 14 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 15 |
+
|
| 16 |
+
|
| 17 |
+
|
| 18 |
+
## Model Details
|
| 19 |
+
|
| 20 |
+
### Model Description
|
| 21 |
+
|
| 22 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 23 |
+
|
| 24 |
+
|
| 25 |
+
|
| 26 |
+
- **Developed by:** [More Information Needed]
|
| 27 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 28 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 29 |
+
- **Model type:** [More Information Needed]
|
| 30 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 31 |
+
- **License:** [More Information Needed]
|
| 32 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 33 |
+
|
| 34 |
+
### Model Sources [optional]
|
| 35 |
+
|
| 36 |
+
<!-- Provide the basic links for the model. -->
|
| 37 |
+
|
| 38 |
+
- **Repository:** [More Information Needed]
|
| 39 |
+
- **Paper [optional]:** [More Information Needed]
|
| 40 |
+
- **Demo [optional]:** [More Information Needed]
|
| 41 |
+
|
| 42 |
+
## Uses
|
| 43 |
+
|
| 44 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 45 |
+
|
| 46 |
+
### Direct Use
|
| 47 |
+
|
| 48 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 49 |
+
|
| 50 |
+
[More Information Needed]
|
| 51 |
+
|
| 52 |
+
### Downstream Use [optional]
|
| 53 |
+
|
| 54 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 55 |
+
|
| 56 |
+
[More Information Needed]
|
| 57 |
+
|
| 58 |
+
### Out-of-Scope Use
|
| 59 |
+
|
| 60 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 61 |
+
|
| 62 |
+
[More Information Needed]
|
| 63 |
+
|
| 64 |
+
## Bias, Risks, and Limitations
|
| 65 |
+
|
| 66 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 67 |
+
|
| 68 |
+
[More Information Needed]
|
| 69 |
+
|
| 70 |
+
### Recommendations
|
| 71 |
+
|
| 72 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 73 |
+
|
| 74 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 75 |
+
|
| 76 |
+
## How to Get Started with the Model
|
| 77 |
+
|
| 78 |
+
Use the code below to get started with the model.
|
| 79 |
+
|
| 80 |
+
[More Information Needed]
|
| 81 |
+
|
| 82 |
+
## Training Details
|
| 83 |
+
|
| 84 |
+
### Training Data
|
| 85 |
+
|
| 86 |
+
<!-- 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. -->
|
| 87 |
+
|
| 88 |
+
[More Information Needed]
|
| 89 |
+
|
| 90 |
+
### Training Procedure
|
| 91 |
+
|
| 92 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 93 |
+
|
| 94 |
+
#### Preprocessing [optional]
|
| 95 |
+
|
| 96 |
+
[More Information Needed]
|
| 97 |
+
|
| 98 |
+
|
| 99 |
+
#### Training Hyperparameters
|
| 100 |
+
|
| 101 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 102 |
+
|
| 103 |
+
#### Speeds, Sizes, Times [optional]
|
| 104 |
+
|
| 105 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 106 |
+
|
| 107 |
+
[More Information Needed]
|
| 108 |
+
|
| 109 |
+
## Evaluation
|
| 110 |
+
|
| 111 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 112 |
+
|
| 113 |
+
### Testing Data, Factors & Metrics
|
| 114 |
+
|
| 115 |
+
#### Testing Data
|
| 116 |
+
|
| 117 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 118 |
+
|
| 119 |
+
[More Information Needed]
|
| 120 |
+
|
| 121 |
+
#### Factors
|
| 122 |
+
|
| 123 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 124 |
+
|
| 125 |
+
[More Information Needed]
|
| 126 |
+
|
| 127 |
+
#### Metrics
|
| 128 |
+
|
| 129 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 130 |
+
|
| 131 |
+
[More Information Needed]
|
| 132 |
+
|
| 133 |
+
### Results
|
| 134 |
+
|
| 135 |
+
[More Information Needed]
|
| 136 |
+
|
| 137 |
+
#### Summary
|
| 138 |
+
|
| 139 |
+
|
| 140 |
+
|
| 141 |
+
## Model Examination [optional]
|
| 142 |
+
|
| 143 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 144 |
+
|
| 145 |
+
[More Information Needed]
|
| 146 |
+
|
| 147 |
+
## Environmental Impact
|
| 148 |
+
|
| 149 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 150 |
+
|
| 151 |
+
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).
|
| 152 |
+
|
| 153 |
+
- **Hardware Type:** [More Information Needed]
|
| 154 |
+
- **Hours used:** [More Information Needed]
|
| 155 |
+
- **Cloud Provider:** [More Information Needed]
|
| 156 |
+
- **Compute Region:** [More Information Needed]
|
| 157 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 158 |
+
|
| 159 |
+
## Technical Specifications [optional]
|
| 160 |
+
|
| 161 |
+
### Model Architecture and Objective
|
| 162 |
+
|
| 163 |
+
[More Information Needed]
|
| 164 |
+
|
| 165 |
+
### Compute Infrastructure
|
| 166 |
+
|
| 167 |
+
[More Information Needed]
|
| 168 |
+
|
| 169 |
+
#### Hardware
|
| 170 |
+
|
| 171 |
+
[More Information Needed]
|
| 172 |
+
|
| 173 |
+
#### Software
|
| 174 |
+
|
| 175 |
+
[More Information Needed]
|
| 176 |
+
|
| 177 |
+
## Citation [optional]
|
| 178 |
+
|
| 179 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 180 |
+
|
| 181 |
+
**BibTeX:**
|
| 182 |
+
|
| 183 |
+
[More Information Needed]
|
| 184 |
+
|
| 185 |
+
**APA:**
|
| 186 |
+
|
| 187 |
+
[More Information Needed]
|
| 188 |
+
|
| 189 |
+
## Glossary [optional]
|
| 190 |
+
|
| 191 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 192 |
+
|
| 193 |
+
[More Information Needed]
|
| 194 |
+
|
| 195 |
+
## More Information [optional]
|
| 196 |
+
|
| 197 |
+
[More Information Needed]
|
| 198 |
+
|
| 199 |
+
## Model Card Authors [optional]
|
| 200 |
+
|
| 201 |
+
[More Information Needed]
|
| 202 |
+
|
| 203 |
+
## Model Card Contact
|
| 204 |
+
|
| 205 |
+
[More Information Needed]
|
| 206 |
+
### Framework versions
|
| 207 |
+
|
| 208 |
+
- PEFT 0.17.1
|
gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1500/adapter_config.json
ADDED
|
@@ -0,0 +1,183 @@
|
|
|
|
|
|
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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 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "google/gemma-3-12b-it",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"corda_config": null,
|
| 7 |
+
"eva_config": null,
|
| 8 |
+
"exclude_modules": null,
|
| 9 |
+
"fan_in_fan_out": false,
|
| 10 |
+
"inference_mode": true,
|
| 11 |
+
"init_lora_weights": true,
|
| 12 |
+
"layer_replication": null,
|
| 13 |
+
"layers_pattern": null,
|
| 14 |
+
"layers_to_transform": null,
|
| 15 |
+
"loftq_config": {},
|
| 16 |
+
"lora_alpha": 16,
|
| 17 |
+
"lora_bias": false,
|
| 18 |
+
"lora_dropout": 0.1,
|
| 19 |
+
"megatron_config": null,
|
| 20 |
+
"megatron_core": "megatron.core",
|
| 21 |
+
"modules_to_save": null,
|
| 22 |
+
"peft_type": "LORA",
|
| 23 |
+
"qalora_group_size": 16,
|
| 24 |
+
"r": 8,
|
| 25 |
+
"rank_pattern": {},
|
| 26 |
+
"revision": null,
|
| 27 |
+
"target_modules": [
|
| 28 |
+
"45.self_attn.k_proj",
|
| 29 |
+
"language_model.layers.26.self_attn.v_proj",
|
| 30 |
+
"language_model.layers.19.self_attn.v_proj",
|
| 31 |
+
"33.self_attn.v_proj",
|
| 32 |
+
"language_model.layers.10.self_attn.k_proj",
|
| 33 |
+
"language_model.layers.18.self_attn.k_proj",
|
| 34 |
+
"31.self_attn.k_proj",
|
| 35 |
+
"41.self_attn.k_proj",
|
| 36 |
+
"language_model.layers.22.self_attn.k_proj",
|
| 37 |
+
"language_model.layers.17.self_attn.k_proj",
|
| 38 |
+
"language_model.layers.23.self_attn.v_proj",
|
| 39 |
+
"30.self_attn.k_proj",
|
| 40 |
+
"46.self_attn.q_proj",
|
| 41 |
+
"language_model.layers.11.self_attn.v_proj",
|
| 42 |
+
"language_model.layers.19.self_attn.k_proj",
|
| 43 |
+
"38.self_attn.k_proj",
|
| 44 |
+
"30.self_attn.v_proj",
|
| 45 |
+
"42.self_attn.k_proj",
|
| 46 |
+
"language_model.layers.21.self_attn.k_proj",
|
| 47 |
+
"language_model.layers.25.self_attn.q_proj",
|
| 48 |
+
"35.self_attn.k_proj",
|
| 49 |
+
"language_model.layers.24.self_attn.k_proj",
|
| 50 |
+
"language_model.layers.3.self_attn.q_proj",
|
| 51 |
+
"43.self_attn.k_proj",
|
| 52 |
+
"46.self_attn.k_proj",
|
| 53 |
+
"29.self_attn.q_proj",
|
| 54 |
+
"language_model.layers.12.self_attn.v_proj",
|
| 55 |
+
"28.self_attn.v_proj",
|
| 56 |
+
"language_model.layers.12.self_attn.q_proj",
|
| 57 |
+
"language_model.layers.13.self_attn.k_proj",
|
| 58 |
+
"language_model.layers.26.self_attn.k_proj",
|
| 59 |
+
"language_model.layers.6.self_attn.k_proj",
|
| 60 |
+
"31.self_attn.v_proj",
|
| 61 |
+
"32.self_attn.v_proj",
|
| 62 |
+
"36.self_attn.v_proj",
|
| 63 |
+
"language_model.layers.18.self_attn.q_proj",
|
| 64 |
+
"29.self_attn.v_proj",
|
| 65 |
+
"language_model.layers.4.self_attn.v_proj",
|
| 66 |
+
"language_model.layers.20.self_attn.k_proj",
|
| 67 |
+
"language_model.layers.0.self_attn.v_proj",
|
| 68 |
+
"language_model.layers.9.self_attn.k_proj",
|
| 69 |
+
"37.self_attn.k_proj",
|
| 70 |
+
"language_model.layers.0.self_attn.q_proj",
|
| 71 |
+
"36.self_attn.k_proj",
|
| 72 |
+
"32.self_attn.k_proj",
|
| 73 |
+
"language_model.layers.15.self_attn.q_proj",
|
| 74 |
+
"language_model.layers.3.self_attn.v_proj",
|
| 75 |
+
"language_model.layers.8.self_attn.q_proj",
|
| 76 |
+
"language_model.layers.13.self_attn.v_proj",
|
| 77 |
+
"28.self_attn.k_proj",
|
| 78 |
+
"language_model.layers.19.self_attn.q_proj",
|
| 79 |
+
"language_model.layers.9.self_attn.q_proj",
|
| 80 |
+
"29.self_attn.k_proj",
|
| 81 |
+
"35.self_attn.v_proj",
|
| 82 |
+
"34.self_attn.v_proj",
|
| 83 |
+
"language_model.layers.16.self_attn.q_proj",
|
| 84 |
+
"45.self_attn.v_proj",
|
| 85 |
+
"language_model.layers.23.self_attn.k_proj",
|
| 86 |
+
"language_model.layers.26.self_attn.q_proj",
|
| 87 |
+
"32.self_attn.q_proj",
|
| 88 |
+
"language_model.layers.14.self_attn.q_proj",
|
| 89 |
+
"46.self_attn.v_proj",
|
| 90 |
+
"34.self_attn.q_proj",
|
| 91 |
+
"41.self_attn.q_proj",
|
| 92 |
+
"language_model.layers.8.self_attn.k_proj",
|
| 93 |
+
"35.self_attn.q_proj",
|
| 94 |
+
"44.self_attn.v_proj",
|
| 95 |
+
"language_model.layers.1.self_attn.v_proj",
|
| 96 |
+
"language_model.layers.9.self_attn.v_proj",
|
| 97 |
+
"language_model.layers.25.self_attn.v_proj",
|
| 98 |
+
"o_proj",
|
| 99 |
+
"40.self_attn.k_proj",
|
| 100 |
+
"language_model.layers.17.self_attn.q_proj",
|
| 101 |
+
"41.self_attn.v_proj",
|
| 102 |
+
"43.self_attn.q_proj",
|
| 103 |
+
"language_model.layers.10.self_attn.v_proj",
|
| 104 |
+
"language_model.layers.4.self_attn.k_proj",
|
| 105 |
+
"language_model.layers.11.self_attn.q_proj",
|
| 106 |
+
"language_model.layers.20.self_attn.v_proj",
|
| 107 |
+
"44.self_attn.q_proj",
|
| 108 |
+
"38.self_attn.q_proj",
|
| 109 |
+
"gate_proj",
|
| 110 |
+
"language_model.layers.14.self_attn.k_proj",
|
| 111 |
+
"language_model.layers.2.self_attn.k_proj",
|
| 112 |
+
"33.self_attn.k_proj",
|
| 113 |
+
"language_model.layers.1.self_attn.k_proj",
|
| 114 |
+
"47.self_attn.v_proj",
|
| 115 |
+
"language_model.layers.2.self_attn.v_proj",
|
| 116 |
+
"38.self_attn.v_proj",
|
| 117 |
+
"27.self_attn.q_proj",
|
| 118 |
+
"language_model.layers.8.self_attn.v_proj",
|
| 119 |
+
"42.self_attn.v_proj",
|
| 120 |
+
"30.self_attn.q_proj",
|
| 121 |
+
"34.self_attn.k_proj",
|
| 122 |
+
"language_model.layers.22.self_attn.q_proj",
|
| 123 |
+
"language_model.layers.1.self_attn.q_proj",
|
| 124 |
+
"40.self_attn.v_proj",
|
| 125 |
+
"language_model.layers.3.self_attn.k_proj",
|
| 126 |
+
"language_model.layers.25.self_attn.k_proj",
|
| 127 |
+
"language_model.layers.6.self_attn.v_proj",
|
| 128 |
+
"language_model.layers.15.self_attn.v_proj",
|
| 129 |
+
"down_proj",
|
| 130 |
+
"language_model.layers.13.self_attn.q_proj",
|
| 131 |
+
"language_model.layers.5.self_attn.v_proj",
|
| 132 |
+
"language_model.layers.16.self_attn.k_proj",
|
| 133 |
+
"39.self_attn.k_proj",
|
| 134 |
+
"39.self_attn.q_proj",
|
| 135 |
+
"28.self_attn.q_proj",
|
| 136 |
+
"42.self_attn.q_proj",
|
| 137 |
+
"language_model.layers.0.self_attn.k_proj",
|
| 138 |
+
"language_model.layers.5.self_attn.q_proj",
|
| 139 |
+
"language_model.layers.18.self_attn.v_proj",
|
| 140 |
+
"language_model.layers.12.self_attn.k_proj",
|
| 141 |
+
"47.self_attn.q_proj",
|
| 142 |
+
"language_model.layers.4.self_attn.q_proj",
|
| 143 |
+
"language_model.layers.7.self_attn.v_proj",
|
| 144 |
+
"language_model.layers.24.self_attn.q_proj",
|
| 145 |
+
"language_model.layers.22.self_attn.v_proj",
|
| 146 |
+
"27.self_attn.v_proj",
|
| 147 |
+
"language_model.layers.15.self_attn.k_proj",
|
| 148 |
+
"47.self_attn.k_proj",
|
| 149 |
+
"language_model.layers.5.self_attn.k_proj",
|
| 150 |
+
"31.self_attn.q_proj",
|
| 151 |
+
"45.self_attn.q_proj",
|
| 152 |
+
"37.self_attn.v_proj",
|
| 153 |
+
"language_model.layers.11.self_attn.k_proj",
|
| 154 |
+
"language_model.layers.2.self_attn.q_proj",
|
| 155 |
+
"44.self_attn.k_proj",
|
| 156 |
+
"language_model.layers.7.self_attn.q_proj",
|
| 157 |
+
"43.self_attn.v_proj",
|
| 158 |
+
"language_model.layers.7.self_attn.k_proj",
|
| 159 |
+
"language_model.layers.21.self_attn.q_proj",
|
| 160 |
+
"39.self_attn.v_proj",
|
| 161 |
+
"language_model.layers.16.self_attn.v_proj",
|
| 162 |
+
"language_model.layers.23.self_attn.q_proj",
|
| 163 |
+
"language_model.layers.24.self_attn.v_proj",
|
| 164 |
+
"33.self_attn.q_proj",
|
| 165 |
+
"language_model.layers.14.self_attn.v_proj",
|
| 166 |
+
"language_model.layers.6.self_attn.q_proj",
|
| 167 |
+
"40.self_attn.q_proj",
|
| 168 |
+
"37.self_attn.q_proj",
|
| 169 |
+
"language_model.layers.10.self_attn.q_proj",
|
| 170 |
+
"36.self_attn.q_proj",
|
| 171 |
+
"up_proj",
|
| 172 |
+
"27.self_attn.k_proj",
|
| 173 |
+
"language_model.layers.21.self_attn.v_proj",
|
| 174 |
+
"language_model.layers.20.self_attn.q_proj",
|
| 175 |
+
"language_model.layers.17.self_attn.v_proj"
|
| 176 |
+
],
|
| 177 |
+
"target_parameters": null,
|
| 178 |
+
"task_type": "CAUSAL_LM",
|
| 179 |
+
"trainable_token_indices": null,
|
| 180 |
+
"use_dora": false,
|
| 181 |
+
"use_qalora": false,
|
| 182 |
+
"use_rslora": false
|
| 183 |
+
}
|
gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1500/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e668f94480695bd2866b923e2b5ef80a67a91be80cc92214ad0b14a094299a71
|
| 3 |
+
size 131040264
|
gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1500/added_tokens.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"<image_soft_token>": 262144
|
| 3 |
+
}
|
gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1500/chat_template.jinja
ADDED
|
@@ -0,0 +1,47 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{{ bos_token }}
|
| 2 |
+
{%- if messages[0]['role'] == 'system' -%}
|
| 3 |
+
{%- if messages[0]['content'] is string -%}
|
| 4 |
+
{%- set first_user_prefix = messages[0]['content'] + '
|
| 5 |
+
|
| 6 |
+
' -%}
|
| 7 |
+
{%- else -%}
|
| 8 |
+
{%- set first_user_prefix = messages[0]['content'][0]['text'] + '
|
| 9 |
+
|
| 10 |
+
' -%}
|
| 11 |
+
{%- endif -%}
|
| 12 |
+
{%- set loop_messages = messages[1:] -%}
|
| 13 |
+
{%- else -%}
|
| 14 |
+
{%- set first_user_prefix = "" -%}
|
| 15 |
+
{%- set loop_messages = messages -%}
|
| 16 |
+
{%- endif -%}
|
| 17 |
+
{%- for message in loop_messages -%}
|
| 18 |
+
{%- if (message['role'] == 'user') != (loop.index0 % 2 == 0) -%}
|
| 19 |
+
{{ raise_exception("Conversation roles must alternate user/assistant/user/assistant/...") }}
|
| 20 |
+
{%- endif -%}
|
| 21 |
+
{%- if (message['role'] == 'assistant') -%}
|
| 22 |
+
{%- set role = "model" -%}
|
| 23 |
+
{%- else -%}
|
| 24 |
+
{%- set role = message['role'] -%}
|
| 25 |
+
{%- endif -%}
|
| 26 |
+
{{ '<start_of_turn>' + role + '
|
| 27 |
+
' + (first_user_prefix if loop.first else "") }}
|
| 28 |
+
{%- if message['content'] is string -%}
|
| 29 |
+
{{ message['content'] | trim }}
|
| 30 |
+
{%- elif message['content'] is iterable -%}
|
| 31 |
+
{%- for item in message['content'] -%}
|
| 32 |
+
{%- if item['type'] == 'image' -%}
|
| 33 |
+
{{ '<start_of_image>' }}
|
| 34 |
+
{%- elif item['type'] == 'text' -%}
|
| 35 |
+
{{ item['text'] | trim }}
|
| 36 |
+
{%- endif -%}
|
| 37 |
+
{%- endfor -%}
|
| 38 |
+
{%- else -%}
|
| 39 |
+
{{ raise_exception("Invalid content type") }}
|
| 40 |
+
{%- endif -%}
|
| 41 |
+
{{ '<end_of_turn>
|
| 42 |
+
' }}
|
| 43 |
+
{%- endfor -%}
|
| 44 |
+
{%- if add_generation_prompt -%}
|
| 45 |
+
{{'<start_of_turn>model
|
| 46 |
+
'}}
|
| 47 |
+
{%- endif -%}
|
gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1500/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:dd79285aeca7de74c09ec3442f29bb7bf1a7813f4ca6ca5e62a360368f5c5a66
|
| 3 |
+
size 262458115
|
gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1500/preprocessor_config.json
ADDED
|
@@ -0,0 +1,39 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"crop_size": null,
|
| 3 |
+
"data_format": "channels_first",
|
| 4 |
+
"default_to_square": true,
|
| 5 |
+
"device": null,
|
| 6 |
+
"disable_grouping": null,
|
| 7 |
+
"do_center_crop": null,
|
| 8 |
+
"do_convert_rgb": null,
|
| 9 |
+
"do_normalize": true,
|
| 10 |
+
"do_pad": null,
|
| 11 |
+
"do_pan_and_scan": null,
|
| 12 |
+
"do_rescale": true,
|
| 13 |
+
"do_resize": true,
|
| 14 |
+
"image_mean": [
|
| 15 |
+
0.5,
|
| 16 |
+
0.5,
|
| 17 |
+
0.5
|
| 18 |
+
],
|
| 19 |
+
"image_processor_type": "Gemma3ImageProcessorFast",
|
| 20 |
+
"image_seq_length": 256,
|
| 21 |
+
"image_std": [
|
| 22 |
+
0.5,
|
| 23 |
+
0.5,
|
| 24 |
+
0.5
|
| 25 |
+
],
|
| 26 |
+
"input_data_format": null,
|
| 27 |
+
"pad_size": null,
|
| 28 |
+
"pan_and_scan_max_num_crops": null,
|
| 29 |
+
"pan_and_scan_min_crop_size": null,
|
| 30 |
+
"pan_and_scan_min_ratio_to_activate": null,
|
| 31 |
+
"processor_class": "Gemma3Processor",
|
| 32 |
+
"resample": 2,
|
| 33 |
+
"rescale_factor": 0.00392156862745098,
|
| 34 |
+
"return_tensors": null,
|
| 35 |
+
"size": {
|
| 36 |
+
"height": 896,
|
| 37 |
+
"width": 896
|
| 38 |
+
}
|
| 39 |
+
}
|
gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1500/processor_config.json
ADDED
|
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"image_seq_length": 256,
|
| 3 |
+
"processor_class": "Gemma3Processor"
|
| 4 |
+
}
|
gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1500/rng_state_0.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:967f2e82cde4baf5a1f17fed19e68963ba39aba08e86e400990a6db827c23436
|
| 3 |
+
size 14917
|
gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1500/rng_state_1.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:14fe8d57843db60759c696c62000b2c94657a635b437bde97f52198a791f384d
|
| 3 |
+
size 14917
|
gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1500/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:35c696d0cb207790ccee54557e4b3238bd6388debe0d6bf7322b1561d47b4783
|
| 3 |
+
size 1465
|
gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1500/special_tokens_map.json
ADDED
|
@@ -0,0 +1,33 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
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gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1500/tokenizer.json
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gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1500/trainer_state.json
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gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-1500/training_args.bin
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version https://git-lfs.github.com/spec/v1
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size 6225
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gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-2000/README.md
ADDED
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@@ -0,0 +1,208 @@
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|
|
| 1 |
+
---
|
| 2 |
+
base_model: google/gemma-3-12b-it
|
| 3 |
+
library_name: peft
|
| 4 |
+
pipeline_tag: text-generation
|
| 5 |
+
tags:
|
| 6 |
+
- base_model:adapter:google/gemma-3-12b-it
|
| 7 |
+
- llama-factory
|
| 8 |
+
- lora
|
| 9 |
+
- transformers
|
| 10 |
+
---
|
| 11 |
+
|
| 12 |
+
# Model Card for Model ID
|
| 13 |
+
|
| 14 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 15 |
+
|
| 16 |
+
|
| 17 |
+
|
| 18 |
+
## Model Details
|
| 19 |
+
|
| 20 |
+
### Model Description
|
| 21 |
+
|
| 22 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 23 |
+
|
| 24 |
+
|
| 25 |
+
|
| 26 |
+
- **Developed by:** [More Information Needed]
|
| 27 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 28 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 29 |
+
- **Model type:** [More Information Needed]
|
| 30 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 31 |
+
- **License:** [More Information Needed]
|
| 32 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 33 |
+
|
| 34 |
+
### Model Sources [optional]
|
| 35 |
+
|
| 36 |
+
<!-- Provide the basic links for the model. -->
|
| 37 |
+
|
| 38 |
+
- **Repository:** [More Information Needed]
|
| 39 |
+
- **Paper [optional]:** [More Information Needed]
|
| 40 |
+
- **Demo [optional]:** [More Information Needed]
|
| 41 |
+
|
| 42 |
+
## Uses
|
| 43 |
+
|
| 44 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 45 |
+
|
| 46 |
+
### Direct Use
|
| 47 |
+
|
| 48 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 49 |
+
|
| 50 |
+
[More Information Needed]
|
| 51 |
+
|
| 52 |
+
### Downstream Use [optional]
|
| 53 |
+
|
| 54 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 55 |
+
|
| 56 |
+
[More Information Needed]
|
| 57 |
+
|
| 58 |
+
### Out-of-Scope Use
|
| 59 |
+
|
| 60 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 61 |
+
|
| 62 |
+
[More Information Needed]
|
| 63 |
+
|
| 64 |
+
## Bias, Risks, and Limitations
|
| 65 |
+
|
| 66 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 67 |
+
|
| 68 |
+
[More Information Needed]
|
| 69 |
+
|
| 70 |
+
### Recommendations
|
| 71 |
+
|
| 72 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 73 |
+
|
| 74 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 75 |
+
|
| 76 |
+
## How to Get Started with the Model
|
| 77 |
+
|
| 78 |
+
Use the code below to get started with the model.
|
| 79 |
+
|
| 80 |
+
[More Information Needed]
|
| 81 |
+
|
| 82 |
+
## Training Details
|
| 83 |
+
|
| 84 |
+
### Training Data
|
| 85 |
+
|
| 86 |
+
<!-- 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. -->
|
| 87 |
+
|
| 88 |
+
[More Information Needed]
|
| 89 |
+
|
| 90 |
+
### Training Procedure
|
| 91 |
+
|
| 92 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 93 |
+
|
| 94 |
+
#### Preprocessing [optional]
|
| 95 |
+
|
| 96 |
+
[More Information Needed]
|
| 97 |
+
|
| 98 |
+
|
| 99 |
+
#### Training Hyperparameters
|
| 100 |
+
|
| 101 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 102 |
+
|
| 103 |
+
#### Speeds, Sizes, Times [optional]
|
| 104 |
+
|
| 105 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 106 |
+
|
| 107 |
+
[More Information Needed]
|
| 108 |
+
|
| 109 |
+
## Evaluation
|
| 110 |
+
|
| 111 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 112 |
+
|
| 113 |
+
### Testing Data, Factors & Metrics
|
| 114 |
+
|
| 115 |
+
#### Testing Data
|
| 116 |
+
|
| 117 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 118 |
+
|
| 119 |
+
[More Information Needed]
|
| 120 |
+
|
| 121 |
+
#### Factors
|
| 122 |
+
|
| 123 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 124 |
+
|
| 125 |
+
[More Information Needed]
|
| 126 |
+
|
| 127 |
+
#### Metrics
|
| 128 |
+
|
| 129 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 130 |
+
|
| 131 |
+
[More Information Needed]
|
| 132 |
+
|
| 133 |
+
### Results
|
| 134 |
+
|
| 135 |
+
[More Information Needed]
|
| 136 |
+
|
| 137 |
+
#### Summary
|
| 138 |
+
|
| 139 |
+
|
| 140 |
+
|
| 141 |
+
## Model Examination [optional]
|
| 142 |
+
|
| 143 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 144 |
+
|
| 145 |
+
[More Information Needed]
|
| 146 |
+
|
| 147 |
+
## Environmental Impact
|
| 148 |
+
|
| 149 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 150 |
+
|
| 151 |
+
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).
|
| 152 |
+
|
| 153 |
+
- **Hardware Type:** [More Information Needed]
|
| 154 |
+
- **Hours used:** [More Information Needed]
|
| 155 |
+
- **Cloud Provider:** [More Information Needed]
|
| 156 |
+
- **Compute Region:** [More Information Needed]
|
| 157 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 158 |
+
|
| 159 |
+
## Technical Specifications [optional]
|
| 160 |
+
|
| 161 |
+
### Model Architecture and Objective
|
| 162 |
+
|
| 163 |
+
[More Information Needed]
|
| 164 |
+
|
| 165 |
+
### Compute Infrastructure
|
| 166 |
+
|
| 167 |
+
[More Information Needed]
|
| 168 |
+
|
| 169 |
+
#### Hardware
|
| 170 |
+
|
| 171 |
+
[More Information Needed]
|
| 172 |
+
|
| 173 |
+
#### Software
|
| 174 |
+
|
| 175 |
+
[More Information Needed]
|
| 176 |
+
|
| 177 |
+
## Citation [optional]
|
| 178 |
+
|
| 179 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 180 |
+
|
| 181 |
+
**BibTeX:**
|
| 182 |
+
|
| 183 |
+
[More Information Needed]
|
| 184 |
+
|
| 185 |
+
**APA:**
|
| 186 |
+
|
| 187 |
+
[More Information Needed]
|
| 188 |
+
|
| 189 |
+
## Glossary [optional]
|
| 190 |
+
|
| 191 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 192 |
+
|
| 193 |
+
[More Information Needed]
|
| 194 |
+
|
| 195 |
+
## More Information [optional]
|
| 196 |
+
|
| 197 |
+
[More Information Needed]
|
| 198 |
+
|
| 199 |
+
## Model Card Authors [optional]
|
| 200 |
+
|
| 201 |
+
[More Information Needed]
|
| 202 |
+
|
| 203 |
+
## Model Card Contact
|
| 204 |
+
|
| 205 |
+
[More Information Needed]
|
| 206 |
+
### Framework versions
|
| 207 |
+
|
| 208 |
+
- PEFT 0.17.1
|
gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-2000/adapter_config.json
ADDED
|
@@ -0,0 +1,183 @@
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|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "google/gemma-3-12b-it",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"corda_config": null,
|
| 7 |
+
"eva_config": null,
|
| 8 |
+
"exclude_modules": null,
|
| 9 |
+
"fan_in_fan_out": false,
|
| 10 |
+
"inference_mode": true,
|
| 11 |
+
"init_lora_weights": true,
|
| 12 |
+
"layer_replication": null,
|
| 13 |
+
"layers_pattern": null,
|
| 14 |
+
"layers_to_transform": null,
|
| 15 |
+
"loftq_config": {},
|
| 16 |
+
"lora_alpha": 16,
|
| 17 |
+
"lora_bias": false,
|
| 18 |
+
"lora_dropout": 0.1,
|
| 19 |
+
"megatron_config": null,
|
| 20 |
+
"megatron_core": "megatron.core",
|
| 21 |
+
"modules_to_save": null,
|
| 22 |
+
"peft_type": "LORA",
|
| 23 |
+
"qalora_group_size": 16,
|
| 24 |
+
"r": 8,
|
| 25 |
+
"rank_pattern": {},
|
| 26 |
+
"revision": null,
|
| 27 |
+
"target_modules": [
|
| 28 |
+
"45.self_attn.k_proj",
|
| 29 |
+
"language_model.layers.26.self_attn.v_proj",
|
| 30 |
+
"language_model.layers.19.self_attn.v_proj",
|
| 31 |
+
"33.self_attn.v_proj",
|
| 32 |
+
"language_model.layers.10.self_attn.k_proj",
|
| 33 |
+
"language_model.layers.18.self_attn.k_proj",
|
| 34 |
+
"31.self_attn.k_proj",
|
| 35 |
+
"41.self_attn.k_proj",
|
| 36 |
+
"language_model.layers.22.self_attn.k_proj",
|
| 37 |
+
"language_model.layers.17.self_attn.k_proj",
|
| 38 |
+
"language_model.layers.23.self_attn.v_proj",
|
| 39 |
+
"30.self_attn.k_proj",
|
| 40 |
+
"46.self_attn.q_proj",
|
| 41 |
+
"language_model.layers.11.self_attn.v_proj",
|
| 42 |
+
"language_model.layers.19.self_attn.k_proj",
|
| 43 |
+
"38.self_attn.k_proj",
|
| 44 |
+
"30.self_attn.v_proj",
|
| 45 |
+
"42.self_attn.k_proj",
|
| 46 |
+
"language_model.layers.21.self_attn.k_proj",
|
| 47 |
+
"language_model.layers.25.self_attn.q_proj",
|
| 48 |
+
"35.self_attn.k_proj",
|
| 49 |
+
"language_model.layers.24.self_attn.k_proj",
|
| 50 |
+
"language_model.layers.3.self_attn.q_proj",
|
| 51 |
+
"43.self_attn.k_proj",
|
| 52 |
+
"46.self_attn.k_proj",
|
| 53 |
+
"29.self_attn.q_proj",
|
| 54 |
+
"language_model.layers.12.self_attn.v_proj",
|
| 55 |
+
"28.self_attn.v_proj",
|
| 56 |
+
"language_model.layers.12.self_attn.q_proj",
|
| 57 |
+
"language_model.layers.13.self_attn.k_proj",
|
| 58 |
+
"language_model.layers.26.self_attn.k_proj",
|
| 59 |
+
"language_model.layers.6.self_attn.k_proj",
|
| 60 |
+
"31.self_attn.v_proj",
|
| 61 |
+
"32.self_attn.v_proj",
|
| 62 |
+
"36.self_attn.v_proj",
|
| 63 |
+
"language_model.layers.18.self_attn.q_proj",
|
| 64 |
+
"29.self_attn.v_proj",
|
| 65 |
+
"language_model.layers.4.self_attn.v_proj",
|
| 66 |
+
"language_model.layers.20.self_attn.k_proj",
|
| 67 |
+
"language_model.layers.0.self_attn.v_proj",
|
| 68 |
+
"language_model.layers.9.self_attn.k_proj",
|
| 69 |
+
"37.self_attn.k_proj",
|
| 70 |
+
"language_model.layers.0.self_attn.q_proj",
|
| 71 |
+
"36.self_attn.k_proj",
|
| 72 |
+
"32.self_attn.k_proj",
|
| 73 |
+
"language_model.layers.15.self_attn.q_proj",
|
| 74 |
+
"language_model.layers.3.self_attn.v_proj",
|
| 75 |
+
"language_model.layers.8.self_attn.q_proj",
|
| 76 |
+
"language_model.layers.13.self_attn.v_proj",
|
| 77 |
+
"28.self_attn.k_proj",
|
| 78 |
+
"language_model.layers.19.self_attn.q_proj",
|
| 79 |
+
"language_model.layers.9.self_attn.q_proj",
|
| 80 |
+
"29.self_attn.k_proj",
|
| 81 |
+
"35.self_attn.v_proj",
|
| 82 |
+
"34.self_attn.v_proj",
|
| 83 |
+
"language_model.layers.16.self_attn.q_proj",
|
| 84 |
+
"45.self_attn.v_proj",
|
| 85 |
+
"language_model.layers.23.self_attn.k_proj",
|
| 86 |
+
"language_model.layers.26.self_attn.q_proj",
|
| 87 |
+
"32.self_attn.q_proj",
|
| 88 |
+
"language_model.layers.14.self_attn.q_proj",
|
| 89 |
+
"46.self_attn.v_proj",
|
| 90 |
+
"34.self_attn.q_proj",
|
| 91 |
+
"41.self_attn.q_proj",
|
| 92 |
+
"language_model.layers.8.self_attn.k_proj",
|
| 93 |
+
"35.self_attn.q_proj",
|
| 94 |
+
"44.self_attn.v_proj",
|
| 95 |
+
"language_model.layers.1.self_attn.v_proj",
|
| 96 |
+
"language_model.layers.9.self_attn.v_proj",
|
| 97 |
+
"language_model.layers.25.self_attn.v_proj",
|
| 98 |
+
"o_proj",
|
| 99 |
+
"40.self_attn.k_proj",
|
| 100 |
+
"language_model.layers.17.self_attn.q_proj",
|
| 101 |
+
"41.self_attn.v_proj",
|
| 102 |
+
"43.self_attn.q_proj",
|
| 103 |
+
"language_model.layers.10.self_attn.v_proj",
|
| 104 |
+
"language_model.layers.4.self_attn.k_proj",
|
| 105 |
+
"language_model.layers.11.self_attn.q_proj",
|
| 106 |
+
"language_model.layers.20.self_attn.v_proj",
|
| 107 |
+
"44.self_attn.q_proj",
|
| 108 |
+
"38.self_attn.q_proj",
|
| 109 |
+
"gate_proj",
|
| 110 |
+
"language_model.layers.14.self_attn.k_proj",
|
| 111 |
+
"language_model.layers.2.self_attn.k_proj",
|
| 112 |
+
"33.self_attn.k_proj",
|
| 113 |
+
"language_model.layers.1.self_attn.k_proj",
|
| 114 |
+
"47.self_attn.v_proj",
|
| 115 |
+
"language_model.layers.2.self_attn.v_proj",
|
| 116 |
+
"38.self_attn.v_proj",
|
| 117 |
+
"27.self_attn.q_proj",
|
| 118 |
+
"language_model.layers.8.self_attn.v_proj",
|
| 119 |
+
"42.self_attn.v_proj",
|
| 120 |
+
"30.self_attn.q_proj",
|
| 121 |
+
"34.self_attn.k_proj",
|
| 122 |
+
"language_model.layers.22.self_attn.q_proj",
|
| 123 |
+
"language_model.layers.1.self_attn.q_proj",
|
| 124 |
+
"40.self_attn.v_proj",
|
| 125 |
+
"language_model.layers.3.self_attn.k_proj",
|
| 126 |
+
"language_model.layers.25.self_attn.k_proj",
|
| 127 |
+
"language_model.layers.6.self_attn.v_proj",
|
| 128 |
+
"language_model.layers.15.self_attn.v_proj",
|
| 129 |
+
"down_proj",
|
| 130 |
+
"language_model.layers.13.self_attn.q_proj",
|
| 131 |
+
"language_model.layers.5.self_attn.v_proj",
|
| 132 |
+
"language_model.layers.16.self_attn.k_proj",
|
| 133 |
+
"39.self_attn.k_proj",
|
| 134 |
+
"39.self_attn.q_proj",
|
| 135 |
+
"28.self_attn.q_proj",
|
| 136 |
+
"42.self_attn.q_proj",
|
| 137 |
+
"language_model.layers.0.self_attn.k_proj",
|
| 138 |
+
"language_model.layers.5.self_attn.q_proj",
|
| 139 |
+
"language_model.layers.18.self_attn.v_proj",
|
| 140 |
+
"language_model.layers.12.self_attn.k_proj",
|
| 141 |
+
"47.self_attn.q_proj",
|
| 142 |
+
"language_model.layers.4.self_attn.q_proj",
|
| 143 |
+
"language_model.layers.7.self_attn.v_proj",
|
| 144 |
+
"language_model.layers.24.self_attn.q_proj",
|
| 145 |
+
"language_model.layers.22.self_attn.v_proj",
|
| 146 |
+
"27.self_attn.v_proj",
|
| 147 |
+
"language_model.layers.15.self_attn.k_proj",
|
| 148 |
+
"47.self_attn.k_proj",
|
| 149 |
+
"language_model.layers.5.self_attn.k_proj",
|
| 150 |
+
"31.self_attn.q_proj",
|
| 151 |
+
"45.self_attn.q_proj",
|
| 152 |
+
"37.self_attn.v_proj",
|
| 153 |
+
"language_model.layers.11.self_attn.k_proj",
|
| 154 |
+
"language_model.layers.2.self_attn.q_proj",
|
| 155 |
+
"44.self_attn.k_proj",
|
| 156 |
+
"language_model.layers.7.self_attn.q_proj",
|
| 157 |
+
"43.self_attn.v_proj",
|
| 158 |
+
"language_model.layers.7.self_attn.k_proj",
|
| 159 |
+
"language_model.layers.21.self_attn.q_proj",
|
| 160 |
+
"39.self_attn.v_proj",
|
| 161 |
+
"language_model.layers.16.self_attn.v_proj",
|
| 162 |
+
"language_model.layers.23.self_attn.q_proj",
|
| 163 |
+
"language_model.layers.24.self_attn.v_proj",
|
| 164 |
+
"33.self_attn.q_proj",
|
| 165 |
+
"language_model.layers.14.self_attn.v_proj",
|
| 166 |
+
"language_model.layers.6.self_attn.q_proj",
|
| 167 |
+
"40.self_attn.q_proj",
|
| 168 |
+
"37.self_attn.q_proj",
|
| 169 |
+
"language_model.layers.10.self_attn.q_proj",
|
| 170 |
+
"36.self_attn.q_proj",
|
| 171 |
+
"up_proj",
|
| 172 |
+
"27.self_attn.k_proj",
|
| 173 |
+
"language_model.layers.21.self_attn.v_proj",
|
| 174 |
+
"language_model.layers.20.self_attn.q_proj",
|
| 175 |
+
"language_model.layers.17.self_attn.v_proj"
|
| 176 |
+
],
|
| 177 |
+
"target_parameters": null,
|
| 178 |
+
"task_type": "CAUSAL_LM",
|
| 179 |
+
"trainable_token_indices": null,
|
| 180 |
+
"use_dora": false,
|
| 181 |
+
"use_qalora": false,
|
| 182 |
+
"use_rslora": false
|
| 183 |
+
}
|
gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-2000/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b49c3548562a21d82aadde9af192a9913a07c8934fffcd040fd65184f878931d
|
| 3 |
+
size 131040264
|
gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-2000/added_tokens.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"<image_soft_token>": 262144
|
| 3 |
+
}
|
gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-2000/chat_template.jinja
ADDED
|
@@ -0,0 +1,47 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{{ bos_token }}
|
| 2 |
+
{%- if messages[0]['role'] == 'system' -%}
|
| 3 |
+
{%- if messages[0]['content'] is string -%}
|
| 4 |
+
{%- set first_user_prefix = messages[0]['content'] + '
|
| 5 |
+
|
| 6 |
+
' -%}
|
| 7 |
+
{%- else -%}
|
| 8 |
+
{%- set first_user_prefix = messages[0]['content'][0]['text'] + '
|
| 9 |
+
|
| 10 |
+
' -%}
|
| 11 |
+
{%- endif -%}
|
| 12 |
+
{%- set loop_messages = messages[1:] -%}
|
| 13 |
+
{%- else -%}
|
| 14 |
+
{%- set first_user_prefix = "" -%}
|
| 15 |
+
{%- set loop_messages = messages -%}
|
| 16 |
+
{%- endif -%}
|
| 17 |
+
{%- for message in loop_messages -%}
|
| 18 |
+
{%- if (message['role'] == 'user') != (loop.index0 % 2 == 0) -%}
|
| 19 |
+
{{ raise_exception("Conversation roles must alternate user/assistant/user/assistant/...") }}
|
| 20 |
+
{%- endif -%}
|
| 21 |
+
{%- if (message['role'] == 'assistant') -%}
|
| 22 |
+
{%- set role = "model" -%}
|
| 23 |
+
{%- else -%}
|
| 24 |
+
{%- set role = message['role'] -%}
|
| 25 |
+
{%- endif -%}
|
| 26 |
+
{{ '<start_of_turn>' + role + '
|
| 27 |
+
' + (first_user_prefix if loop.first else "") }}
|
| 28 |
+
{%- if message['content'] is string -%}
|
| 29 |
+
{{ message['content'] | trim }}
|
| 30 |
+
{%- elif message['content'] is iterable -%}
|
| 31 |
+
{%- for item in message['content'] -%}
|
| 32 |
+
{%- if item['type'] == 'image' -%}
|
| 33 |
+
{{ '<start_of_image>' }}
|
| 34 |
+
{%- elif item['type'] == 'text' -%}
|
| 35 |
+
{{ item['text'] | trim }}
|
| 36 |
+
{%- endif -%}
|
| 37 |
+
{%- endfor -%}
|
| 38 |
+
{%- else -%}
|
| 39 |
+
{{ raise_exception("Invalid content type") }}
|
| 40 |
+
{%- endif -%}
|
| 41 |
+
{{ '<end_of_turn>
|
| 42 |
+
' }}
|
| 43 |
+
{%- endfor -%}
|
| 44 |
+
{%- if add_generation_prompt -%}
|
| 45 |
+
{{'<start_of_turn>model
|
| 46 |
+
'}}
|
| 47 |
+
{%- endif -%}
|
gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-2000/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:52f7d64c8706a072c77ad7340a1a6f1790b3186915176cd8d71a58a532aaa1a1
|
| 3 |
+
size 262458115
|
gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-2000/preprocessor_config.json
ADDED
|
@@ -0,0 +1,39 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"crop_size": null,
|
| 3 |
+
"data_format": "channels_first",
|
| 4 |
+
"default_to_square": true,
|
| 5 |
+
"device": null,
|
| 6 |
+
"disable_grouping": null,
|
| 7 |
+
"do_center_crop": null,
|
| 8 |
+
"do_convert_rgb": null,
|
| 9 |
+
"do_normalize": true,
|
| 10 |
+
"do_pad": null,
|
| 11 |
+
"do_pan_and_scan": null,
|
| 12 |
+
"do_rescale": true,
|
| 13 |
+
"do_resize": true,
|
| 14 |
+
"image_mean": [
|
| 15 |
+
0.5,
|
| 16 |
+
0.5,
|
| 17 |
+
0.5
|
| 18 |
+
],
|
| 19 |
+
"image_processor_type": "Gemma3ImageProcessorFast",
|
| 20 |
+
"image_seq_length": 256,
|
| 21 |
+
"image_std": [
|
| 22 |
+
0.5,
|
| 23 |
+
0.5,
|
| 24 |
+
0.5
|
| 25 |
+
],
|
| 26 |
+
"input_data_format": null,
|
| 27 |
+
"pad_size": null,
|
| 28 |
+
"pan_and_scan_max_num_crops": null,
|
| 29 |
+
"pan_and_scan_min_crop_size": null,
|
| 30 |
+
"pan_and_scan_min_ratio_to_activate": null,
|
| 31 |
+
"processor_class": "Gemma3Processor",
|
| 32 |
+
"resample": 2,
|
| 33 |
+
"rescale_factor": 0.00392156862745098,
|
| 34 |
+
"return_tensors": null,
|
| 35 |
+
"size": {
|
| 36 |
+
"height": 896,
|
| 37 |
+
"width": 896
|
| 38 |
+
}
|
| 39 |
+
}
|
gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-2000/processor_config.json
ADDED
|
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"image_seq_length": 256,
|
| 3 |
+
"processor_class": "Gemma3Processor"
|
| 4 |
+
}
|
gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-2000/rng_state_0.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:45dbf038fa7ae5d94221521613b5efff5095a7535c5709ad62ae5c6d331ff0c5
|
| 3 |
+
size 14917
|
gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-2000/rng_state_1.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:645dffcd843647d251aaeb3ddc36fe0a074ac895e1e318dd8df115ced74eec08
|
| 3 |
+
size 14917
|
gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-2000/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ad4d2a2b5fb0a77400b6ba49e5ca9dc1b7f6b1961fd479ead6adcd35287573e9
|
| 3 |
+
size 1465
|
gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-2000/special_tokens_map.json
ADDED
|
@@ -0,0 +1,33 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"boi_token": "<start_of_image>",
|
| 3 |
+
"bos_token": {
|
| 4 |
+
"content": "<bos>",
|
| 5 |
+
"lstrip": false,
|
| 6 |
+
"normalized": false,
|
| 7 |
+
"rstrip": false,
|
| 8 |
+
"single_word": false
|
| 9 |
+
},
|
| 10 |
+
"eoi_token": "<end_of_image>",
|
| 11 |
+
"eos_token": {
|
| 12 |
+
"content": "<end_of_turn>",
|
| 13 |
+
"lstrip": false,
|
| 14 |
+
"normalized": false,
|
| 15 |
+
"rstrip": false,
|
| 16 |
+
"single_word": false
|
| 17 |
+
},
|
| 18 |
+
"image_token": "<image_soft_token>",
|
| 19 |
+
"pad_token": {
|
| 20 |
+
"content": "<pad>",
|
| 21 |
+
"lstrip": false,
|
| 22 |
+
"normalized": false,
|
| 23 |
+
"rstrip": false,
|
| 24 |
+
"single_word": false
|
| 25 |
+
},
|
| 26 |
+
"unk_token": {
|
| 27 |
+
"content": "<unk>",
|
| 28 |
+
"lstrip": false,
|
| 29 |
+
"normalized": false,
|
| 30 |
+
"rstrip": false,
|
| 31 |
+
"single_word": false
|
| 32 |
+
}
|
| 33 |
+
}
|
gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-2000/tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4667f2089529e8e7657cfb6d1c19910ae71ff5f28aa7ab2ff2763330affad795
|
| 3 |
+
size 33384568
|
gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-2000/tokenizer.model
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1299c11d7cf632ef3b4e11937501358ada021bbdf7c47638d13c0ee982f2e79c
|
| 3 |
+
size 4689074
|
gemma3-12b_mmlupro_bbh/lora/sft/checkpoint-2000/tokenizer_config.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|