diff --git a/.gitattributes b/.gitattributes
index a6344aac8c09253b3b630fb776ae94478aa0275b..ad28fd56d3bf1465807fa3b602ad1bcca85d0c6e 100644
--- a/.gitattributes
+++ b/.gitattributes
@@ -33,3 +33,6 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+checkpoint-3119/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+checkpoint-6237/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text
diff --git a/README.md b/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..d2e8957039e9edf9c022708532af08607f5b6437
--- /dev/null
+++ b/README.md
@@ -0,0 +1,58 @@
+---
+base_model: google/paligemma2-3b-pt-224
+datasets: mateoguaman/vamos_10pct_gpt5_mini_cocoqa_localized_narratives_fixed
+library_name: transformers
+model_name: google/paligemma2-3b-pt-224
+tags:
+- generated_from_trainer
+- alignment-handbook
+licence: license
+---
+
+# Model Card for google/paligemma2-3b-pt-224
+
+This model is a fine-tuned version of [google/paligemma2-3b-pt-224](https://huggingface.co/google/paligemma2-3b-pt-224) on the [mateoguaman/vamos_10pct_gpt5_mini_cocoqa_localized_narratives_fixed](https://huggingface.co/datasets/mateoguaman/vamos_10pct_gpt5_mini_cocoqa_localized_narratives_fixed) dataset.
+It has been trained using [TRL](https://github.com/huggingface/trl).
+
+## Quick start
+
+```python
+from transformers import pipeline
+
+question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
+generator = pipeline("text-generation", model="None", device="cuda")
+output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
+print(output["generated_text"])
+```
+
+## Training procedure
+
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/tri/paligemma2-3b-pt-224-sft-lora-vamos_10pct_gpt5_mini_cocoqa_localized_narratives_fixed/runs/34idwmc1) 
+
+
+This model was trained with SFT.
+
+### Framework versions
+
+- TRL: 0.15.2
+- Transformers: 4.49.0
+- Pytorch: 2.6.0
+- Datasets: 3.4.1
+- Tokenizers: 0.21.1
+
+## Citations
+
+
+
+Cite TRL as:
+    
+```bibtex
+@misc{vonwerra2022trl,
+	title        = {{TRL: Transformer Reinforcement Learning}},
+	author       = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallouédec},
+	year         = 2020,
+	journal      = {GitHub repository},
+	publisher    = {GitHub},
+	howpublished = {\url{https://github.com/huggingface/trl}}
+}
+```
\ No newline at end of file
diff --git a/adapter_config.json b/adapter_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..488ce5ffbbf229d02190ac02af93a4692a17e0bd
--- /dev/null
+++ b/adapter_config.json
@@ -0,0 +1,37 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "google/paligemma2-3b-pt-224",
+  "bias": "none",
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "k_proj",
+    "down_proj",
+    "v_proj",
+    "q_proj",
+    "gate_proj",
+    "o_proj",
+    "up_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}
\ No newline at end of file
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+oid sha256:6be4b4f4bb2df72e2cb7de3a913546aecb8c7e69fbe1a6b9586df92895b6b352
+size 95091000
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index 0000000000000000000000000000000000000000..f299c07368a211b62270dcc37e6a915326b97067
--- /dev/null
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+{
+    "eval_loss": 1.53940749168396,
+    "eval_runtime": 1828.6515,
+    "eval_samples": 495720,
+    "eval_samples_per_second": 271.085,
+    "eval_steps_per_second": 2.118,
+    "total_flos": 3.9136612672224625e+18,
+    "train_loss": 1.9499194212634154,
+    "train_runtime": 7999.3345,
+    "train_samples": 798264,
+    "train_samples_per_second": 99.791,
+    "train_steps_per_second": 0.78
+}
\ No newline at end of file
diff --git a/checkpoint-3119/README.md b/checkpoint-3119/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..b1c1bef91461c09d3e1fd5806ea94758aeb63f60
--- /dev/null
+++ b/checkpoint-3119/README.md
@@ -0,0 +1,202 @@
+---
+base_model: google/paligemma2-3b-pt-224
+library_name: peft
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- 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. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+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).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.14.0
\ No newline at end of file
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+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "google/paligemma2-3b-pt-224",
+  "bias": "none",
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "k_proj",
+    "down_proj",
+    "v_proj",
+    "q_proj",
+    "gate_proj",
+    "o_proj",
+    "up_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}
\ No newline at end of file
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+  "resample": 3,
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+  "size": {
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+    "width": 224
+  }
+}
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new file mode 100644
index 0000000000000000000000000000000000000000..11a8822b022d6c1782342aba624b55a4cadd97ce
--- /dev/null
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diff --git a/checkpoint-6237/README.md b/checkpoint-6237/README.md
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--- /dev/null
+++ b/checkpoint-6237/README.md
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+---
+base_model: google/paligemma2-3b-pt-224
+library_name: peft
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- 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. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+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).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.14.0
\ No newline at end of file
diff --git a/checkpoint-6237/adapter_config.json b/checkpoint-6237/adapter_config.json
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+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "google/paligemma2-3b-pt-224",
+  "bias": "none",
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "k_proj",
+    "down_proj",
+    "v_proj",
+    "q_proj",
+    "gate_proj",
+    "o_proj",
+    "up_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}
\ No newline at end of file
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+  "do_resize": true,
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+}
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diff --git a/special_tokens_map.json b/special_tokens_map.json
new file mode 100644
index 0000000000000000000000000000000000000000..f48cea75e45286da1529fb88a24e851bc1a3c882
--- /dev/null
+++ b/special_tokens_map.json
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+{
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diff --git a/tokenizer.json b/tokenizer.json
new file mode 100644
index 0000000000000000000000000000000000000000..1e149fc2895217040525f80a1144815a4169eb90
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+oid sha256:b648d11e0879b11659e6b4051f691752c0cef597a865c6fde5b318b9f68c1d05
+size 34600974
diff --git a/tokenizer_config.json b/tokenizer_config.json
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index 0000000000000000000000000000000000000000..fdd4f65b994bcb0fb9102b0a00defdaea2e79ece
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diff --git a/train_results.json b/train_results.json
new file mode 100644
index 0000000000000000000000000000000000000000..51335fdbf362386f5d1f5e7d0792389209524c09
--- /dev/null
+++ b/train_results.json
@@ -0,0 +1,8 @@
+{
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+}
\ No newline at end of file
diff --git a/trainer_state.json b/trainer_state.json
new file mode 100644
index 0000000000000000000000000000000000000000..00257e2eb789e954707910ca49970492058f8656
--- /dev/null
+++ b/trainer_state.json
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+}
diff --git a/training.log b/training.log
new file mode 100644
index 0000000000000000000000000000000000000000..d3854c5334cd776a70724cbfcff0ec5e2903eb94
--- /dev/null
+++ b/training.log
@@ -0,0 +1,186 @@
+2025-09-14 20:11:44 - WARNING - __main__ - Process rank: 4, device: cuda:4, n_gpu: 1 distributed training: True, 16-bits training: False
+2025-09-14 20:11:44 - WARNING - __main__ - Process rank: 7, device: cuda:7, n_gpu: 1 distributed training: True, 16-bits training: False
+2025-09-14 20:11:44 - WARNING - __main__ - Process rank: 2, device: cuda:2, n_gpu: 1 distributed training: True, 16-bits training: False
+2025-09-14 20:11:44 - WARNING - __main__ - Process rank: 3, device: cuda:3, n_gpu: 1 distributed training: True, 16-bits training: False
+2025-09-14 20:11:44 - WARNING - __main__ - Process rank: 1, device: cuda:1, n_gpu: 1 distributed training: True, 16-bits training: False
+2025-09-14 20:11:44 - WARNING - __main__ - Process rank: 6, device: cuda:6, n_gpu: 1 distributed training: True, 16-bits training: False
+2025-09-14 20:11:44 - WARNING - __main__ - Process rank: 5, device: cuda:5, n_gpu: 1 distributed training: True, 16-bits training: False
+2025-09-14 20:11:44 - WARNING - __main__ - Process rank: 0, device: cuda:0, n_gpu: 1 distributed training: True, 16-bits training: False
+2025-09-14 20:11:44 - INFO - __main__ - Model parameters ModelArguments(base_model_revision=None, model_name_or_path='google/paligemma2-3b-pt-224', model_revision='main', model_code_revision=None, torch_dtype='bfloat16', tokenizer_name_or_path=None, processor_name_or_path=None, trust_remote_code=False, attn_implementation='eager', use_peft=True, lora_r=16, lora_alpha=16, lora_dropout=0.05, lora_target_modules=['q_proj', 'k_proj', 'v_proj', 'o_proj', 'gate_proj', 'up_proj', 'down_proj'], lora_modules_to_save=None, load_in_8bit=False, load_in_4bit=False, bnb_4bit_quant_type='nf4', use_bnb_nested_quant=False, bnb_4bit_quant_storage='uint8')
+2025-09-14 20:11:44 - INFO - __main__ - Data parameters DataArguments(chat_template=None, dataset_mixer={'mateoguaman/vamos_10pct_gpt5_mini_cocoqa_localized_narratives_fixed': 1.0}, eval_dataset_mixer={'mateoguaman/vamos_10pct_gpt5_mini_cocoqa_localized_narratives_fixed': 1.0}, text_column='text', dataset_splits=['train', 'test'], train_splits=['train'], validation_splits=['validation'], processing_params={}, dataset_configs=None, preprocessing_num_workers=12, truncation_side=None, auto_insert_empty_system_msg=True, auto_set_chat_template=False, cache_dataset_only=False, just_combine_data=False, output_dataset_name=None, output_dataset_description=None, hf_entity=None)
+2025-09-14 20:11:44 - INFO - __main__ - Training/evaluation parameters SFTConfig(
+_n_gpu=1,
+accelerator_config={'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None, 'use_configured_state': False},
+adafactor=False,
+adam_beta1=0.9,
+adam_beta2=0.999,
+adam_epsilon=1e-08,
+auto_find_batch_size=False,
+average_tokens_across_devices=False,
+batch_eval_metrics=False,
+bf16=True,
+bf16_full_eval=False,
+chars_per_token=<CHARS_PER_TOKEN>,
+data_seed=None,
+dataloader_drop_last=False,
+dataloader_num_workers=0,
+dataloader_persistent_workers=False,
+dataloader_pin_memory=True,
+dataloader_prefetch_factor=None,
+dataset_batch_size=None,
+dataset_kwargs=None,
+dataset_num_proc=None,
+dataset_text_field=text,
+ddp_backend=None,
+ddp_broadcast_buffers=None,
+ddp_bucket_cap_mb=None,
+ddp_find_unused_parameters=None,
+ddp_timeout=1800,
+debug=[],
+deepspeed=None,
+disable_tqdm=False,
+dispatch_batches=None,
+do_eval=True,
+do_predict=False,
+do_train=False,
+eval_accumulation_steps=None,
+eval_delay=0,
+eval_do_concat_batches=True,
+eval_on_start=False,
+eval_packing=None,
+eval_steps=0.5,
+eval_strategy=IntervalStrategy.STEPS,
+eval_use_gather_object=False,
+evaluation_strategy=None,
+fp16=False,
+fp16_backend=auto,
+fp16_full_eval=False,
+fp16_opt_level=O1,
+fsdp=[],
+fsdp_config={'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False},
+fsdp_min_num_params=0,
+fsdp_transformer_layer_cls_to_wrap=None,
+full_determinism=False,
+gradient_accumulation_steps=1,
+gradient_checkpointing=False,
+gradient_checkpointing_kwargs=None,
+greater_is_better=False,
+group_by_length=False,
+half_precision_backend=auto,
+hub_always_push=False,
+hub_model_id=paligemma2-3b-pt-224-sft-lora-vamos_10pct_gpt5_mini_cocoqa_localized_narratives_fixed,
+hub_model_revision=main,
+hub_private_repo=None,
+hub_strategy=HubStrategy.EVERY_SAVE,
+hub_token=<HUB_TOKEN>,
+ignore_data_skip=False,
+include_for_metrics=[],
+include_inputs_for_metrics=False,
+include_num_input_tokens_seen=False,
+include_tokens_per_second=False,
+jit_mode_eval=False,
+label_names=None,
+label_smoothing_factor=0.0,
+learning_rate=0.0001,
+length_column_name=length,
+load_best_model_at_end=True,
+local_rank=0,
+log_level=info,
+log_level_replica=warning,
+log_on_each_node=True,
+logging_dir=data/paligemma2-3b-pt-224-sft-lora-vamos_10pct_gpt5_mini_cocoqa_localized_narratives_fixed/runs/Sep14_20-11-43_g001,
+logging_first_step=True,
+logging_nan_inf_filter=True,
+logging_steps=20,
+logging_strategy=IntervalStrategy.STEPS,
+lr_scheduler_kwargs={},
+lr_scheduler_type=SchedulerType.COSINE,
+max_grad_norm=1.0,
+max_seq_length=2048,
+max_steps=-1,
+metric_for_best_model=loss,
+model_init_kwargs=None,
+mp_parameters=,
+neftune_noise_alpha=None,
+no_cuda=False,
+num_of_sequences=None,
+num_train_epochs=1,
+optim=OptimizerNames.ADAMW_TORCH,
+optim_args=None,
+optim_target_modules=None,
+output_dir=data/paligemma2-3b-pt-224-sft-lora-vamos_10pct_gpt5_mini_cocoqa_localized_narratives_fixed,
+overwrite_output_dir=True,
+packing=True,
+past_index=-1,
+per_device_eval_batch_size=16,
+per_device_train_batch_size=16,
+prediction_loss_only=False,
+push_to_hub=False,
+push_to_hub_model_id=None,
+push_to_hub_organization=None,
+push_to_hub_token=<PUSH_TO_HUB_TOKEN>,
+ray_scope=last,
+remove_unused_columns=True,
+report_to=['wandb'],
+restore_callback_states_from_checkpoint=False,
+resume_from_checkpoint=None,
+run_name=data/paligemma2-3b-pt-224-sft-lora-vamos_10pct_gpt5_mini_cocoqa_localized_narratives_fixed,
+save_on_each_node=False,
+save_only_model=False,
+save_safetensors=True,
+save_steps=0.5,
+save_strategy=SaveStrategy.STEPS,
+save_total_limit=None,
+seed=42,
+skip_memory_metrics=True,
+split_batches=None,
+tf32=None,
+torch_compile=False,
+torch_compile_backend=None,
+torch_compile_mode=None,
+torch_empty_cache_steps=None,
+torchdynamo=None,
+tpu_metrics_debug=False,
+tpu_num_cores=None,
+use_cpu=False,
+use_ipex=False,
+use_legacy_prediction_loop=False,
+use_liger=False,
+use_liger_kernel=False,
+use_mps_device=False,
+warmup_ratio=0.1,
+warmup_steps=0,
+weight_decay=1e-05,
+)
+2025-09-14 20:50:23 - INFO - datasets.builder - Found cached dataset vamos_10pct_gpt5_mini_cocoqa_localized_narratives_fixed (/gpfs/scrubbed/zchuning/mateo/huggingface/datasets/mateoguaman___vamos_10pct_gpt5_mini_cocoqa_localized_narratives_fixed/default/0.0.0/cea0d1f62292faedf950826fa61aaee53d99f5c5)
+2025-09-14 20:50:23 - INFO - datasets.info - Loading Dataset info from /gpfs/scrubbed/zchuning/mateo/huggingface/datasets/mateoguaman___vamos_10pct_gpt5_mini_cocoqa_localized_narratives_fixed/default/0.0.0/cea0d1f62292faedf950826fa61aaee53d99f5c5
+2025-09-14 20:50:26 - INFO - datasets.arrow_dataset - Caching indices mapping at /gpfs/scrubbed/zchuning/mateo/tmp/hf_datasets-wangndhj/cache-25649d22ab1822a1.arrow
+2025-09-14 20:50:26 - INFO - datasets.arrow_dataset - Caching indices mapping at /gpfs/scrubbed/zchuning/mateo/tmp/hf_datasets-wangndhj/cache-98f7ebd9d10b0ddf.arrow
+2025-09-14 20:50:28 - INFO - datasets.builder - Overwrite dataset info from restored data version if exists.
+2025-09-14 20:50:28 - INFO - datasets.info - Loading Dataset info from /gpfs/scrubbed/zchuning/mateo/huggingface/datasets/mateoguaman___vamos_10pct_gpt5_mini_cocoqa_localized_narratives_fixed/default/0.0.0/cea0d1f62292faedf950826fa61aaee53d99f5c5
+2025-09-14 20:50:28 - INFO - datasets.builder - Found cached dataset vamos_10pct_gpt5_mini_cocoqa_localized_narratives_fixed (/gpfs/scrubbed/zchuning/mateo/huggingface/datasets/mateoguaman___vamos_10pct_gpt5_mini_cocoqa_localized_narratives_fixed/default/0.0.0/cea0d1f62292faedf950826fa61aaee53d99f5c5)
+2025-09-14 20:50:28 - INFO - datasets.info - Loading Dataset info from /gpfs/scrubbed/zchuning/mateo/huggingface/datasets/mateoguaman___vamos_10pct_gpt5_mini_cocoqa_localized_narratives_fixed/default/0.0.0/cea0d1f62292faedf950826fa61aaee53d99f5c5
+2025-09-14 20:50:29 - INFO - datasets.arrow_dataset - Caching indices mapping at /gpfs/scrubbed/zchuning/mateo/tmp/hf_datasets-wangndhj/cache-30409fc3d0e0c16a.arrow
+2025-09-14 20:50:29 - INFO - datasets.arrow_dataset - Caching indices mapping at /gpfs/scrubbed/zchuning/mateo/tmp/hf_datasets-wangndhj/cache-0db7001c8880240c.arrow
+2025-09-14 20:50:29 - INFO - __main__ - *** Load pretrained model ***
+2025-09-14 20:50:30 - INFO - __main__ - Sample 670487 of the processed training set:
+
+Navigate to x=<loc0522>, y=<loc0541>
+
+<loc0506><loc0715><loc0507><loc0634><loc0509><loc0587><loc0508><loc0556><loc0522><loc0541>
+2025-09-14 20:50:30 - INFO - __main__ - Sample 116739 of the processed training set:
+
+Navigate to x=<loc0004>, y=<loc0622>
+
+<loc0513><loc0704><loc0438><loc0641><loc0307><loc0631><loc0151><loc0624><loc0004><loc0622>
+2025-09-14 20:50:30 - INFO - __main__ - Sample 26225 of the processed training set:
+
+Navigate to x=<loc0523>, y=<loc0533>.Keep a slightly left-of-center course on the paved walkway, avoid pedestrians and stairs, and stay off the curb and median.
+
+<loc0501><loc0715><loc0497><loc0634><loc0504><loc0581><loc0512><loc0548><loc0523><loc0533>
+2025-09-14 20:50:34 - INFO - __main__ - Loaded model is not a PeftModel. Getting PEFT config based on model_args.
+2025-09-14 20:50:40 - INFO - __main__ - *** Train ***
+2025-09-14 23:04:01 - INFO - __main__ - *** Save model ***
+2025-09-14 23:04:03 - INFO - __main__ - Model saved to data/paligemma2-3b-pt-224-sft-lora-vamos_10pct_gpt5_mini_cocoqa_localized_narratives_fixed
+2025-09-14 23:04:03 - INFO - __main__ - *** Evaluate ***
+2025-09-14 23:34:31 - INFO - __main__ - *** Training complete ***
diff --git a/training_args.bin b/training_args.bin
new file mode 100644
index 0000000000000000000000000000000000000000..f5e9712956c42fcc0d9fcb02325d84932eb45f1a
--- /dev/null
+++ b/training_args.bin
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+oid sha256:aad656740548acb2cf8355c0bb58f2d3acfb74bed369d470a571070c08698a6c
+size 5880
diff --git a/training_config.json b/training_config.json
new file mode 100644
index 0000000000000000000000000000000000000000..dbbb299f7d84ee463bb9e6084cd2e16f60988cbc
--- /dev/null
+++ b/training_config.json
@@ -0,0 +1,236 @@
+{
+    "model_args": {
+        "base_model_revision": null,
+        "model_name_or_path": "google/paligemma2-3b-pt-224",
+        "model_revision": "main",
+        "model_code_revision": null,
+        "torch_dtype": "bfloat16",
+        "tokenizer_name_or_path": null,
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+        "trust_remote_code": false,
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+        "use_peft": true,
+        "lora_r": 16,
+        "lora_alpha": 16,
+        "lora_dropout": 0.05,
+        "lora_target_modules": [
+            "q_proj",
+            "k_proj",
+            "v_proj",
+            "o_proj",
+            "gate_proj",
+            "up_proj",
+            "down_proj"
+        ],
+        "lora_modules_to_save": null,
+        "load_in_8bit": false,
+        "load_in_4bit": false,
+        "bnb_4bit_quant_type": "nf4",
+        "use_bnb_nested_quant": false,
+        "bnb_4bit_quant_storage": "uint8"
+    },
+    "data_args": {
+        "chat_template": null,
+        "dataset_mixer": {
+            "mateoguaman/vamos_10pct_gpt5_mini_cocoqa_localized_narratives_fixed": 1.0
+        },
+        "eval_dataset_mixer": {
+            "mateoguaman/vamos_10pct_gpt5_mini_cocoqa_localized_narratives_fixed": 1.0
+        },
+        "text_column": "text",
+        "dataset_splits": [
+            "train",
+            "test"
+        ],
+        "train_splits": [
+            "train"
+        ],
+        "validation_splits": [
+            "validation"
+        ],
+        "processing_params": {},
+        "dataset_configs": null,
+        "preprocessing_num_workers": 12,
+        "truncation_side": null,
+        "auto_insert_empty_system_msg": true,
+        "auto_set_chat_template": false,
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+        "just_combine_data": false,
+        "output_dataset_name": null,
+        "output_dataset_description": null,
+        "hf_entity": null
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+    "training_args": {
+        "output_dir": "data/paligemma2-3b-pt-224-sft-lora-vamos_10pct_gpt5_mini_cocoqa_localized_narratives_fixed",
+        "overwrite_output_dir": true,
+        "do_train": false,
+        "do_eval": true,
+        "do_predict": false,
+        "eval_strategy": "steps",
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+        "per_gpu_train_batch_size": null,
+        "per_gpu_eval_batch_size": null,
+        "gradient_accumulation_steps": 1,
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+        "eval_delay": 0,
+        "torch_empty_cache_steps": null,
+        "learning_rate": 0.0001,
+        "weight_decay": 1e-05,
+        "adam_beta1": 0.9,
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