Upload folder using huggingface_hub

.gitattributes

@@ -100,3 +100,11 @@ SFT-Qwen2.5VL-top1-min2cand-ckpts/checkpoint-500/tokenizer.json filter=lfs diff=
 SFT-Qwen2.5VL-top1-min2cand-ckpts/checkpoint-600/tokenizer.json filter=lfs diff=lfs merge=lfs -text
 SFT-Qwen2.5VL-top1-min2cand-ckpts/checkpoint-700/tokenizer.json filter=lfs diff=lfs merge=lfs -text
 SFT-Qwen2.5VL-top1-min2cand-ckpts/checkpoint-776/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+RAFT-Qwen2.5VL-top1-min2cand-ckpts/checkpoint-100/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+RAFT-Qwen2.5VL-top1-min2cand-ckpts/checkpoint-200/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+RAFT-Qwen2.5VL-top1-min2cand-ckpts/checkpoint-300/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+RAFT-Qwen2.5VL-top1-min2cand-ckpts/checkpoint-400/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+RAFT-Qwen2.5VL-top1-min2cand-ckpts/checkpoint-500/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+RAFT-Qwen2.5VL-top1-min2cand-ckpts/checkpoint-600/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+RAFT-Qwen2.5VL-top1-min2cand-ckpts/checkpoint-700/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+RAFT-Qwen2.5VL-top1-min2cand-ckpts/checkpoint-776/tokenizer.json filter=lfs diff=lfs merge=lfs -text

RAFT-Qwen2.5VL-top1-min2cand-ckpts/checkpoint-100/README.md

@@ -0,0 +1,202 @@
+---
+base_model: unsloth/qwen2.5-vl-7b-instruct-unsloth-bnb-4bit
+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 0.15.2

RAFT-Qwen2.5VL-top1-min2cand-ckpts/checkpoint-100/adapter_config.json

@@ -0,0 +1,31 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "unsloth/qwen2.5-vl-7b-instruct-unsloth-bnb-4bit",
+  "bias": "none",
+  "corda_config": null,
+  "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,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": "(?:.*?(?:vision|image|visual|patch|language|text).*?(?:self_attn|attention|attn|mlp|feed_forward|ffn|dense).*?(?:qkv|proj|gate_proj|up_proj|down_proj|q_proj|k_proj|v_proj|o_proj).*?)|(?:\\bmodel\\.layers\\.[\\d]{1,}\\.(?:self_attn|attention|attn|mlp|feed_forward|ffn|dense)\\.(?:(?:qkv|proj|gate_proj|up_proj|down_proj|q_proj|k_proj|v_proj|o_proj)))",
+  "task_type": "CAUSAL_LM",
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_rslora": false
+}

RAFT-Qwen2.5VL-top1-min2cand-ckpts/checkpoint-100/adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2bcb30230e47295249f15bca911b1f7f4b2d5ebd9c338e32c75eea5414b5d08f
+size 206181032

RAFT-Qwen2.5VL-top1-min2cand-ckpts/checkpoint-100/added_tokens.json

@@ -0,0 +1,24 @@
+{
+  "</tool_call>": 151658,
+  "<tool_call>": 151657,
+  "<|box_end|>": 151649,
+  "<|box_start|>": 151648,
+  "<|endoftext|>": 151643,
+  "<|file_sep|>": 151664,
+  "<|fim_middle|>": 151660,
+  "<|fim_pad|>": 151662,
+  "<|fim_prefix|>": 151659,
+  "<|fim_suffix|>": 151661,
+  "<|im_end|>": 151645,
+  "<|im_start|>": 151644,
+  "<|image_pad|>": 151655,
+  "<|object_ref_end|>": 151647,
+  "<|object_ref_start|>": 151646,
+  "<|quad_end|>": 151651,
+  "<|quad_start|>": 151650,
+  "<|repo_name|>": 151663,
+  "<|video_pad|>": 151656,
+  "<|vision_end|>": 151653,
+  "<|vision_pad|>": 151654,
+  "<|vision_start|>": 151652
+}

RAFT-Qwen2.5VL-top1-min2cand-ckpts/checkpoint-100/chat_template.json

@@ -0,0 +1,3 @@
+{
+  "chat_template": "{% set image_count = namespace(value=0) %}{% set video_count = namespace(value=0) %}{% for message in messages %}{% if loop.first and message['role'] != 'system' %}<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n{% endif %}<|im_start|>{{ message['role'] }}\n{% if message['content'] is string %}{{ message['content'] }}<|im_end|>\n{% else %}{% for content in message['content'] %}{% if content['type'] == 'image' or 'image' in content or 'image_url' in content %}{% set image_count.value = image_count.value + 1 %}{% if add_vision_id %}Picture {{ image_count.value }}: {% endif %}<|vision_start|><|image_pad|><|vision_end|>{% elif content['type'] == 'video' or 'video' in content %}{% set video_count.value = video_count.value + 1 %}{% if add_vision_id %}Video {{ video_count.value }}: {% endif %}<|vision_start|><|video_pad|><|vision_end|>{% elif 'text' in content %}{{ content['text'] }}{% endif %}{% endfor %}<|im_end|>\n{% endif %}{% endfor %}{% if add_generation_prompt %}<|im_start|>assistant\n{% endif %}"
+}

RAFT-Qwen2.5VL-top1-min2cand-ckpts/checkpoint-100/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6ed9730dc02c16ba4b2fd403c182263f5115eb6882e49e8a7619167e3550656e
+size 82462277

RAFT-Qwen2.5VL-top1-min2cand-ckpts/checkpoint-100/preprocessor_config.json

@@ -0,0 +1,29 @@
+{
+  "do_convert_rgb": true,
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.48145466,
+    0.4578275,
+    0.40821073
+  ],
+  "image_processor_type": "Qwen2VLImageProcessor",
+  "image_std": [
+    0.26862954,
+    0.26130258,
+    0.27577711
+  ],
+  "max_pixels": 12845056,
+  "merge_size": 2,
+  "min_pixels": 3136,
+  "patch_size": 14,
+  "processor_class": "Qwen2_5_VLProcessor",
+  "resample": 3,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "longest_edge": 12845056,
+    "shortest_edge": 3136
+  },
+  "temporal_patch_size": 2
+}

RAFT-Qwen2.5VL-top1-min2cand-ckpts/checkpoint-100/rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f1d565802a8e26c4e8a31328752b7a7fdc186d9401aa008e65697d0ad8c22e33
+size 14645

RAFT-Qwen2.5VL-top1-min2cand-ckpts/checkpoint-100/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4b954bc1f162eab88170069c3ce1111c8725a43fb4298c0e653ecd18953b5cca
+size 1465

RAFT-Qwen2.5VL-top1-min2cand-ckpts/checkpoint-100/special_tokens_map.json

@@ -0,0 +1,31 @@
+{
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ],
+  "eos_token": {
+    "content": "<|im_end|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<|vision_pad|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

RAFT-Qwen2.5VL-top1-min2cand-ckpts/checkpoint-100/tokenizer.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:741c85ffe434aad73e934a73ef380c85e94cd863b8f55e1a1ad66cacb5a93dfd
+size 11422164

RAFT-Qwen2.5VL-top1-min2cand-ckpts/checkpoint-100/tokenizer_config.json

@@ -0,0 +1,210 @@
+{
+  "add_bos_token": false,
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "151643": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151644": {
+      "content": "<|im_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151645": {
+      "content": "<|im_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151646": {
+      "content": "<|object_ref_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151647": {
+      "content": "<|object_ref_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151648": {
+      "content": "<|box_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151649": {
+      "content": "<|box_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151650": {
+      "content": "<|quad_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151651": {
+      "content": "<|quad_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151652": {
+      "content": "<|vision_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151653": {
+      "content": "<|vision_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151654": {
+      "content": "<|vision_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151655": {
+      "content": "<|image_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151656": {
+      "content": "<|video_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151657": {
+      "content": "<tool_call>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151658": {
+      "content": "</tool_call>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151659": {
+      "content": "<|fim_prefix|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151660": {
+      "content": "<|fim_middle|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151661": {
+      "content": "<|fim_suffix|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151662": {
+      "content": "<|fim_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151663": {
+      "content": "<|repo_name|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151664": {
+      "content": "<|file_sep|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    }
+  },
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ],
+  "bos_token": null,
+  "chat_template": "{%- if tools %}\n    {{- '<|im_start|>system\\n' }}\n    {%- if messages[0]['role'] == 'system' %}\n        {{- messages[0]['content'] }}\n    {%- else %}\n        {{- 'You are a helpful assistant.' }}\n    {%- endif %}\n    {{- \"\\n\\n# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n    {%- for tool in tools %}\n        {{- \"\\n\" }}\n        {{- tool | tojson }}\n    {%- endfor %}\n    {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n    {%- if messages[0]['role'] == 'system' %}\n        {{- '<|im_start|>system\\n' + messages[0]['content'] + '<|im_end|>\\n' }}\n    {%- else %}\n        {{- '<|im_start|>system\\nYou are a helpful assistant.<|im_end|>\\n' }}\n    {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n    {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) or (message.role == \"assistant\" and not message.tool_calls) %}\n        {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n    {%- elif message.role == \"assistant\" %}\n        {{- '<|im_start|>' + message.role }}\n        {%- if message.content %}\n            {{- '\\n' + message.content }}\n        {%- endif %}\n        {%- for tool_call in message.tool_calls %}\n            {%- if tool_call.function is defined %}\n                {%- set tool_call = tool_call.function %}\n            {%- endif %}\n            {{- '\\n<tool_call>\\n{\"name\": \"' }}\n            {{- tool_call.name }}\n            {{- '\", \"arguments\": ' }}\n            {{- tool_call.arguments | tojson }}\n            {{- '}\\n</tool_call>' }}\n        {%- endfor %}\n        {{- '<|im_end|>\\n' }}\n    {%- elif message.role == \"tool\" %}\n        {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != \"tool\") %}\n            {{- '<|im_start|>user' }}\n        {%- endif %}\n        {{- '\\n<tool_response>\\n' }}\n        {{- message.content }}\n        {{- '\\n</tool_response>' }}\n        {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n            {{- '<|im_end|>\\n' }}\n        {%- endif %}\n    {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n    {{- '<|im_start|>assistant\\n' }}\n{%- endif %}\n",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
+  "extra_special_tokens": {},
+  "model_max_length": 32768,
+  "pad_token": "<|vision_pad|>",
+  "padding_side": "right",
+  "processor_class": "Qwen2_5_VLProcessor",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}

RAFT-Qwen2.5VL-top1-min2cand-ckpts/checkpoint-100/trainer_state.json

@@ -0,0 +1,734 @@
+{
+  "best_global_step": null,
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 0.1288244766505636,
+  "eval_steps": 500,
+  "global_step": 100,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.0012882447665056361,
+      "grad_norm": 5.262403964996338,
+      "learning_rate": 0.0,
+      "loss": 9.8258,
+      "step": 1
+    },
+    {
+      "epoch": 0.0025764895330112722,
+      "grad_norm": 5.366933822631836,
+      "learning_rate": 4e-05,
+      "loss": 9.8988,
+      "step": 2
+    },
+    {
+      "epoch": 0.003864734299516908,
+      "grad_norm": 5.458187103271484,
+      "learning_rate": 8e-05,
+      "loss": 9.7253,
+      "step": 3
+    },
+    {
+      "epoch": 0.0051529790660225444,
+      "grad_norm": 6.3110432624816895,
+      "learning_rate": 0.00012,
+      "loss": 9.3954,
+      "step": 4
+    },
+    {
+      "epoch": 0.00644122383252818,
+      "grad_norm": 6.78550386428833,
+      "learning_rate": 0.00016,
+      "loss": 7.8535,
+      "step": 5
+    },
+    {
+      "epoch": 0.007729468599033816,
+      "grad_norm": 6.161053657531738,
+      "learning_rate": 0.0002,
+      "loss": 5.7433,
+      "step": 6
+    },
+    {
+      "epoch": 0.009017713365539453,
+      "grad_norm": 2.953165292739868,
+      "learning_rate": 0.00019974059662775616,
+      "loss": 4.0112,
+      "step": 7
+    },
+    {
+      "epoch": 0.010305958132045089,
+      "grad_norm": 2.951970338821411,
+      "learning_rate": 0.00019948119325551234,
+      "loss": 3.5249,
+      "step": 8
+    },
+    {
+      "epoch": 0.011594202898550725,
+      "grad_norm": 3.1278786659240723,
+      "learning_rate": 0.0001992217898832685,
+      "loss": 2.8601,
+      "step": 9
+    },
+    {
+      "epoch": 0.01288244766505636,
+      "grad_norm": 3.560781955718994,
+      "learning_rate": 0.00019896238651102467,
+      "loss": 2.5292,
+      "step": 10
+    },
+    {
+      "epoch": 0.014170692431561997,
+      "grad_norm": 3.736281394958496,
+      "learning_rate": 0.00019870298313878082,
+      "loss": 2.2548,
+      "step": 11
+    },
+    {
+      "epoch": 0.015458937198067632,
+      "grad_norm": 3.2093236446380615,
+      "learning_rate": 0.00019844357976653697,
+      "loss": 1.6844,
+      "step": 12
+    },
+    {
+      "epoch": 0.01674718196457327,
+      "grad_norm": 1.6000800132751465,
+      "learning_rate": 0.00019818417639429315,
+      "loss": 1.6678,
+      "step": 13
+    },
+    {
+      "epoch": 0.018035426731078906,
+      "grad_norm": 1.1950865983963013,
+      "learning_rate": 0.0001979247730220493,
+      "loss": 1.545,
+      "step": 14
+    },
+    {
+      "epoch": 0.01932367149758454,
+      "grad_norm": 1.057097315788269,
+      "learning_rate": 0.00019766536964980547,
+      "loss": 1.3783,
+      "step": 15
+    },
+    {
+      "epoch": 0.020611916264090178,
+      "grad_norm": 3.6531178951263428,
+      "learning_rate": 0.00019740596627756162,
+      "loss": 1.3391,
+      "step": 16
+    },
+    {
+      "epoch": 0.021900161030595812,
+      "grad_norm": 1.3927085399627686,
+      "learning_rate": 0.00019714656290531778,
+      "loss": 1.2096,
+      "step": 17
+    },
+    {
+      "epoch": 0.02318840579710145,
+      "grad_norm": 1.0091526508331299,
+      "learning_rate": 0.00019688715953307395,
+      "loss": 1.0893,
+      "step": 18
+    },
+    {
+      "epoch": 0.024476650563607084,
+      "grad_norm": 0.582187831401825,
+      "learning_rate": 0.00019662775616083008,
+      "loss": 0.9122,
+      "step": 19
+    },
+    {
+      "epoch": 0.02576489533011272,
+      "grad_norm": 0.45811596512794495,
+      "learning_rate": 0.00019636835278858625,
+      "loss": 0.8972,
+      "step": 20
+    },
+    {
+      "epoch": 0.02705314009661836,
+      "grad_norm": 0.5596348643302917,
+      "learning_rate": 0.0001961089494163424,
+      "loss": 0.959,
+      "step": 21
+    },
+    {
+      "epoch": 0.028341384863123993,
+      "grad_norm": 0.5089276432991028,
+      "learning_rate": 0.00019584954604409858,
+      "loss": 0.6338,
+      "step": 22
+    },
+    {
+      "epoch": 0.02962962962962963,
+      "grad_norm": 0.6439465880393982,
+      "learning_rate": 0.00019559014267185473,
+      "loss": 0.7911,
+      "step": 23
+    },
+    {
+      "epoch": 0.030917874396135265,
+      "grad_norm": 0.6328151226043701,
+      "learning_rate": 0.0001953307392996109,
+      "loss": 0.9987,
+      "step": 24
+    },
+    {
+      "epoch": 0.0322061191626409,
+      "grad_norm": 0.5730019211769104,
+      "learning_rate": 0.00019507133592736706,
+      "loss": 0.8724,
+      "step": 25
+    },
+    {
+      "epoch": 0.03349436392914654,
+      "grad_norm": 0.4807477593421936,
+      "learning_rate": 0.0001948119325551232,
+      "loss": 0.8967,
+      "step": 26
+    },
+    {
+      "epoch": 0.034782608695652174,
+      "grad_norm": 0.5236231684684753,
+      "learning_rate": 0.0001945525291828794,
+      "loss": 0.8508,
+      "step": 27
+    },
+    {
+      "epoch": 0.03607085346215781,
+      "grad_norm": 0.4115971326828003,
+      "learning_rate": 0.00019429312581063554,
+      "loss": 0.678,
+      "step": 28
+    },
+    {
+      "epoch": 0.03735909822866344,
+      "grad_norm": 0.41102030873298645,
+      "learning_rate": 0.00019403372243839172,
+      "loss": 0.8701,
+      "step": 29
+    },
+    {
+      "epoch": 0.03864734299516908,
+      "grad_norm": 0.5096181631088257,
+      "learning_rate": 0.00019377431906614787,
+      "loss": 0.8319,
+      "step": 30
+    },
+    {
+      "epoch": 0.03993558776167472,
+      "grad_norm": 0.35217568278312683,
+      "learning_rate": 0.00019351491569390402,
+      "loss": 0.8071,
+      "step": 31
+    },
+    {
+      "epoch": 0.041223832528180356,
+      "grad_norm": 0.39972659945487976,
+      "learning_rate": 0.0001932555123216602,
+      "loss": 0.7544,
+      "step": 32
+    },
+    {
+      "epoch": 0.04251207729468599,
+      "grad_norm": 0.36103618144989014,
+      "learning_rate": 0.00019299610894941635,
+      "loss": 0.689,
+      "step": 33
+    },
+    {
+      "epoch": 0.043800322061191624,
+      "grad_norm": 0.38165056705474854,
+      "learning_rate": 0.00019273670557717253,
+      "loss": 0.8285,
+      "step": 34
+    },
+    {
+      "epoch": 0.04508856682769726,
+      "grad_norm": 0.32468029856681824,
+      "learning_rate": 0.00019247730220492868,
+      "loss": 0.9139,
+      "step": 35
+    },
+    {
+      "epoch": 0.0463768115942029,
+      "grad_norm": 0.40932831168174744,
+      "learning_rate": 0.00019221789883268483,
+      "loss": 0.9248,
+      "step": 36
+    },
+    {
+      "epoch": 0.04766505636070854,
+      "grad_norm": 0.35141539573669434,
+      "learning_rate": 0.000191958495460441,
+      "loss": 0.8364,
+      "step": 37
+    },
+    {
+      "epoch": 0.04895330112721417,
+      "grad_norm": 0.40496382117271423,
+      "learning_rate": 0.00019169909208819716,
+      "loss": 0.6268,
+      "step": 38
+    },
+    {
+      "epoch": 0.050241545893719805,
+      "grad_norm": 0.3912662863731384,
+      "learning_rate": 0.00019143968871595333,
+      "loss": 0.7688,
+      "step": 39
+    },
+    {
+      "epoch": 0.05152979066022544,
+      "grad_norm": 0.411436527967453,
+      "learning_rate": 0.00019118028534370949,
+      "loss": 0.9441,
+      "step": 40
+    },
+    {
+      "epoch": 0.05281803542673108,
+      "grad_norm": 0.39597514271736145,
+      "learning_rate": 0.00019092088197146564,
+      "loss": 0.9375,
+      "step": 41
+    },
+    {
+      "epoch": 0.05410628019323672,
+      "grad_norm": 0.37057411670684814,
+      "learning_rate": 0.00019066147859922181,
+      "loss": 0.843,
+      "step": 42
+    },
+    {
+      "epoch": 0.05539452495974235,
+      "grad_norm": 0.3797967731952667,
+      "learning_rate": 0.00019040207522697794,
+      "loss": 0.8405,
+      "step": 43
+    },
+    {
+      "epoch": 0.056682769726247986,
+      "grad_norm": 0.39558812975883484,
+      "learning_rate": 0.00019014267185473412,
+      "loss": 0.7924,
+      "step": 44
+    },
+    {
+      "epoch": 0.057971014492753624,
+      "grad_norm": 0.3703974485397339,
+      "learning_rate": 0.00018988326848249027,
+      "loss": 0.8211,
+      "step": 45
+    },
+    {
+      "epoch": 0.05925925925925926,
+      "grad_norm": 0.4131820499897003,
+      "learning_rate": 0.00018962386511024644,
+      "loss": 0.8184,
+      "step": 46
+    },
+    {
+      "epoch": 0.06054750402576489,
+      "grad_norm": 0.31977829337120056,
+      "learning_rate": 0.0001893644617380026,
+      "loss": 0.726,
+      "step": 47
+    },
+    {
+      "epoch": 0.06183574879227053,
+      "grad_norm": 0.3597254455089569,
+      "learning_rate": 0.00018910505836575875,
+      "loss": 0.7899,
+      "step": 48
+    },
+    {
+      "epoch": 0.06312399355877617,
+      "grad_norm": 0.3365727365016937,
+      "learning_rate": 0.00018884565499351492,
+      "loss": 0.8046,
+      "step": 49
+    },
+    {
+      "epoch": 0.0644122383252818,
+      "grad_norm": 0.3720993399620056,
+      "learning_rate": 0.00018858625162127107,
+      "loss": 0.7154,
+      "step": 50
+    },
+    {
+      "epoch": 0.06570048309178744,
+      "grad_norm": 0.49059492349624634,
+      "learning_rate": 0.00018832684824902725,
+      "loss": 1.0179,
+      "step": 51
+    },
+    {
+      "epoch": 0.06698872785829307,
+      "grad_norm": 0.349679559469223,
+      "learning_rate": 0.0001880674448767834,
+      "loss": 0.821,
+      "step": 52
+    },
+    {
+      "epoch": 0.06827697262479872,
+      "grad_norm": 0.3414258062839508,
+      "learning_rate": 0.00018780804150453958,
+      "loss": 0.8551,
+      "step": 53
+    },
+    {
+      "epoch": 0.06956521739130435,
+      "grad_norm": 0.3640010356903076,
+      "learning_rate": 0.00018754863813229573,
+      "loss": 0.8017,
+      "step": 54
+    },
+    {
+      "epoch": 0.07085346215780998,
+      "grad_norm": 0.4253976047039032,
+      "learning_rate": 0.00018728923476005188,
+      "loss": 0.9128,
+      "step": 55
+    },
+    {
+      "epoch": 0.07214170692431562,
+      "grad_norm": 0.35879331827163696,
+      "learning_rate": 0.00018702983138780806,
+      "loss": 0.6451,
+      "step": 56
+    },
+    {
+      "epoch": 0.07342995169082125,
+      "grad_norm": 0.3185586929321289,
+      "learning_rate": 0.0001867704280155642,
+      "loss": 0.5574,
+      "step": 57
+    },
+    {
+      "epoch": 0.07471819645732689,
+      "grad_norm": 0.37594854831695557,
+      "learning_rate": 0.0001865110246433204,
+      "loss": 0.6801,
+      "step": 58
+    },
+    {
+      "epoch": 0.07600644122383253,
+      "grad_norm": 0.4002726972103119,
+      "learning_rate": 0.00018625162127107654,
+      "loss": 0.7327,
+      "step": 59
+    },
+    {
+      "epoch": 0.07729468599033816,
+      "grad_norm": 0.33300065994262695,
+      "learning_rate": 0.0001859922178988327,
+      "loss": 0.7138,
+      "step": 60
+    },
+    {
+      "epoch": 0.0785829307568438,
+      "grad_norm": 0.3906570374965668,
+      "learning_rate": 0.00018573281452658887,
+      "loss": 0.7337,
+      "step": 61
+    },
+    {
+      "epoch": 0.07987117552334944,
+      "grad_norm": 0.3438870906829834,
+      "learning_rate": 0.00018547341115434502,
+      "loss": 0.698,
+      "step": 62
+    },
+    {
+      "epoch": 0.08115942028985507,
+      "grad_norm": 0.3743039667606354,
+      "learning_rate": 0.0001852140077821012,
+      "loss": 0.8378,
+      "step": 63
+    },
+    {
+      "epoch": 0.08244766505636071,
+      "grad_norm": 0.3259747624397278,
+      "learning_rate": 0.00018495460440985735,
+      "loss": 0.6315,
+      "step": 64
+    },
+    {
+      "epoch": 0.08373590982286634,
+      "grad_norm": 0.3895297050476074,
+      "learning_rate": 0.0001846952010376135,
+      "loss": 0.7263,
+      "step": 65
+    },
+    {
+      "epoch": 0.08502415458937199,
+      "grad_norm": 0.3410950005054474,
+      "learning_rate": 0.00018443579766536967,
+      "loss": 0.7499,
+      "step": 66
+    },
+    {
+      "epoch": 0.08631239935587762,
+      "grad_norm": 0.42679062485694885,
+      "learning_rate": 0.0001841763942931258,
+      "loss": 0.637,
+      "step": 67
+    },
+    {
+      "epoch": 0.08760064412238325,
+      "grad_norm": 0.33153036236763,
+      "learning_rate": 0.00018391699092088198,
+      "loss": 0.7374,
+      "step": 68
+    },
+    {
+      "epoch": 0.08888888888888889,
+      "grad_norm": 0.4067535698413849,
+      "learning_rate": 0.00018365758754863813,
+      "loss": 0.8188,
+      "step": 69
+    },
+    {
+      "epoch": 0.09017713365539452,
+      "grad_norm": 0.43531498312950134,
+      "learning_rate": 0.0001833981841763943,
+      "loss": 0.7233,
+      "step": 70
+    },
+    {
+      "epoch": 0.09146537842190017,
+      "grad_norm": 0.34313544631004333,
+      "learning_rate": 0.00018313878080415046,
+      "loss": 0.7082,
+      "step": 71
+    },
+    {
+      "epoch": 0.0927536231884058,
+      "grad_norm": 0.4499073922634125,
+      "learning_rate": 0.0001828793774319066,
+      "loss": 0.7944,
+      "step": 72
+    },
+    {
+      "epoch": 0.09404186795491143,
+      "grad_norm": 0.3997962474822998,
+      "learning_rate": 0.00018261997405966278,
+      "loss": 0.7768,
+      "step": 73
+    },
+    {
+      "epoch": 0.09533011272141707,
+      "grad_norm": 0.3584403991699219,
+      "learning_rate": 0.00018236057068741893,
+      "loss": 0.6918,
+      "step": 74
+    },
+    {
+      "epoch": 0.0966183574879227,
+      "grad_norm": 0.386200487613678,
+      "learning_rate": 0.0001821011673151751,
+      "loss": 0.8057,
+      "step": 75
+    },
+    {
+      "epoch": 0.09790660225442833,
+      "grad_norm": 0.4260252118110657,
+      "learning_rate": 0.00018184176394293126,
+      "loss": 0.9566,
+      "step": 76
+    },
+    {
+      "epoch": 0.09919484702093398,
+      "grad_norm": 0.365682452917099,
+      "learning_rate": 0.0001815823605706874,
+      "loss": 0.6916,
+      "step": 77
+    },
+    {
+      "epoch": 0.10048309178743961,
+      "grad_norm": 0.4001545011997223,
+      "learning_rate": 0.0001813229571984436,
+      "loss": 0.744,
+      "step": 78
+    },
+    {
+      "epoch": 0.10177133655394525,
+      "grad_norm": 0.3634803295135498,
+      "learning_rate": 0.00018106355382619974,
+      "loss": 0.8526,
+      "step": 79
+    },
+    {
+      "epoch": 0.10305958132045089,
+      "grad_norm": 0.3756248950958252,
+      "learning_rate": 0.00018080415045395592,
+      "loss": 0.7736,
+      "step": 80
+    },
+    {
+      "epoch": 0.10434782608695652,
+      "grad_norm": 0.3772340416908264,
+      "learning_rate": 0.00018054474708171207,
+      "loss": 0.8625,
+      "step": 81
+    },
+    {
+      "epoch": 0.10563607085346216,
+      "grad_norm": 0.3710072636604309,
+      "learning_rate": 0.00018028534370946825,
+      "loss": 0.6527,
+      "step": 82
+    },
+    {
+      "epoch": 0.10692431561996779,
+      "grad_norm": 0.39302870631217957,
+      "learning_rate": 0.0001800259403372244,
+      "loss": 0.776,
+      "step": 83
+    },
+    {
+      "epoch": 0.10821256038647344,
+      "grad_norm": 0.4005106985569,
+      "learning_rate": 0.00017976653696498055,
+      "loss": 0.7742,
+      "step": 84
+    },
+    {
+      "epoch": 0.10950080515297907,
+      "grad_norm": 0.3943251669406891,
+      "learning_rate": 0.00017950713359273673,
+      "loss": 0.7904,
+      "step": 85
+    },
+    {
+      "epoch": 0.1107890499194847,
+      "grad_norm": 0.4574766755104065,
+      "learning_rate": 0.00017924773022049288,
+      "loss": 0.7703,
+      "step": 86
+    },
+    {
+      "epoch": 0.11207729468599034,
+      "grad_norm": 0.41561025381088257,
+      "learning_rate": 0.00017898832684824906,
+      "loss": 0.814,
+      "step": 87
+    },
+    {
+      "epoch": 0.11336553945249597,
+      "grad_norm": 0.3998861312866211,
+      "learning_rate": 0.0001787289234760052,
+      "loss": 0.7781,
+      "step": 88
+    },
+    {
+      "epoch": 0.11465378421900162,
+      "grad_norm": 0.3865020275115967,
+      "learning_rate": 0.00017846952010376136,
+      "loss": 0.5702,
+      "step": 89
+    },
+    {
+      "epoch": 0.11594202898550725,
+      "grad_norm": 0.42256155610084534,
+      "learning_rate": 0.00017821011673151754,
+      "loss": 0.8718,
+      "step": 90
+    },
+    {
+      "epoch": 0.11723027375201288,
+      "grad_norm": 0.4352784752845764,
+      "learning_rate": 0.00017795071335927366,
+      "loss": 0.5581,
+      "step": 91
+    },
+    {
+      "epoch": 0.11851851851851852,
+      "grad_norm": 0.4169948995113373,
+      "learning_rate": 0.00017769130998702984,
+      "loss": 0.8848,
+      "step": 92
+    },
+    {
+      "epoch": 0.11980676328502415,
+      "grad_norm": 0.427137166261673,
+      "learning_rate": 0.000177431906614786,
+      "loss": 0.7896,
+      "step": 93
+    },
+    {
+      "epoch": 0.12109500805152978,
+      "grad_norm": 0.40028682351112366,
+      "learning_rate": 0.00017717250324254217,
+      "loss": 0.6213,
+      "step": 94
+    },
+    {
+      "epoch": 0.12238325281803543,
+      "grad_norm": 0.4058162569999695,
+      "learning_rate": 0.00017691309987029832,
+      "loss": 0.7196,
+      "step": 95
+    },
+    {
+      "epoch": 0.12367149758454106,
+      "grad_norm": 0.36246687173843384,
+      "learning_rate": 0.00017665369649805447,
+      "loss": 0.6107,
+      "step": 96
+    },
+    {
+      "epoch": 0.1249597423510467,
+      "grad_norm": 0.43806013464927673,
+      "learning_rate": 0.00017639429312581064,
+      "loss": 0.6867,
+      "step": 97
+    },
+    {
+      "epoch": 0.12624798711755233,
+      "grad_norm": 0.4309624135494232,
+      "learning_rate": 0.0001761348897535668,
+      "loss": 0.9121,
+      "step": 98
+    },
+    {
+      "epoch": 0.12753623188405797,
+      "grad_norm": 0.44031617045402527,
+      "learning_rate": 0.00017587548638132297,
+      "loss": 0.9044,
+      "step": 99
+    },
+    {
+      "epoch": 0.1288244766505636,
+      "grad_norm": 0.4357609450817108,
+      "learning_rate": 0.00017561608300907912,
+      "loss": 0.6607,
+      "step": 100
+    }
+  ],
+  "logging_steps": 1,
+  "max_steps": 776,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 1,
+  "save_steps": 100,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": false
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 7.929939662956954e+16,
+  "train_batch_size": 4,
+  "trial_name": null,
+  "trial_params": null
+}

RAFT-Qwen2.5VL-top1-min2cand-ckpts/checkpoint-100/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7bd30bd30d599ec5545d25d46742876009ffca4b5f3fcbccf8898bb989d0e41d
+size 6033

RAFT-Qwen2.5VL-top1-min2cand-ckpts/checkpoint-200/README.md

@@ -0,0 +1,202 @@
+---
+base_model: unsloth/qwen2.5-vl-7b-instruct-unsloth-bnb-4bit
+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 0.15.2

RAFT-Qwen2.5VL-top1-min2cand-ckpts/checkpoint-200/adapter_config.json

@@ -0,0 +1,31 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "unsloth/qwen2.5-vl-7b-instruct-unsloth-bnb-4bit",
+  "bias": "none",
+  "corda_config": null,
+  "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,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": "(?:.*?(?:vision|image|visual|patch|language|text).*?(?:self_attn|attention|attn|mlp|feed_forward|ffn|dense).*?(?:qkv|proj|gate_proj|up_proj|down_proj|q_proj|k_proj|v_proj|o_proj).*?)|(?:\\bmodel\\.layers\\.[\\d]{1,}\\.(?:self_attn|attention|attn|mlp|feed_forward|ffn|dense)\\.(?:(?:qkv|proj|gate_proj|up_proj|down_proj|q_proj|k_proj|v_proj|o_proj)))",
+  "task_type": "CAUSAL_LM",
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_rslora": false
+}

RAFT-Qwen2.5VL-top1-min2cand-ckpts/checkpoint-200/adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5ddd754bac2684fe58296acbd08fd05baee0a24357f0222d7de9148c3bc1df14
+size 206181032

RAFT-Qwen2.5VL-top1-min2cand-ckpts/checkpoint-200/added_tokens.json

@@ -0,0 +1,24 @@
+{
+  "</tool_call>": 151658,
+  "<tool_call>": 151657,
+  "<|box_end|>": 151649,
+  "<|box_start|>": 151648,
+  "<|endoftext|>": 151643,
+  "<|file_sep|>": 151664,
+  "<|fim_middle|>": 151660,
+  "<|fim_pad|>": 151662,
+  "<|fim_prefix|>": 151659,
+  "<|fim_suffix|>": 151661,
+  "<|im_end|>": 151645,
+  "<|im_start|>": 151644,
+  "<|image_pad|>": 151655,
+  "<|object_ref_end|>": 151647,
+  "<|object_ref_start|>": 151646,
+  "<|quad_end|>": 151651,
+  "<|quad_start|>": 151650,
+  "<|repo_name|>": 151663,
+  "<|video_pad|>": 151656,
+  "<|vision_end|>": 151653,
+  "<|vision_pad|>": 151654,
+  "<|vision_start|>": 151652
+}

RAFT-Qwen2.5VL-top1-min2cand-ckpts/checkpoint-200/chat_template.json

@@ -0,0 +1,3 @@
+{
+  "chat_template": "{% set image_count = namespace(value=0) %}{% set video_count = namespace(value=0) %}{% for message in messages %}{% if loop.first and message['role'] != 'system' %}<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n{% endif %}<|im_start|>{{ message['role'] }}\n{% if message['content'] is string %}{{ message['content'] }}<|im_end|>\n{% else %}{% for content in message['content'] %}{% if content['type'] == 'image' or 'image' in content or 'image_url' in content %}{% set image_count.value = image_count.value + 1 %}{% if add_vision_id %}Picture {{ image_count.value }}: {% endif %}<|vision_start|><|image_pad|><|vision_end|>{% elif content['type'] == 'video' or 'video' in content %}{% set video_count.value = video_count.value + 1 %}{% if add_vision_id %}Video {{ video_count.value }}: {% endif %}<|vision_start|><|video_pad|><|vision_end|>{% elif 'text' in content %}{{ content['text'] }}{% endif %}{% endfor %}<|im_end|>\n{% endif %}{% endfor %}{% if add_generation_prompt %}<|im_start|>assistant\n{% endif %}"
+}

RAFT-Qwen2.5VL-top1-min2cand-ckpts/checkpoint-200/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2e4d087e61f42138386f180b8177ca48a7442a5510ff0259d64845d33df20e9d
+size 82462277

RAFT-Qwen2.5VL-top1-min2cand-ckpts/checkpoint-200/preprocessor_config.json

@@ -0,0 +1,29 @@
+{
+  "do_convert_rgb": true,
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.48145466,
+    0.4578275,
+    0.40821073
+  ],
+  "image_processor_type": "Qwen2VLImageProcessor",
+  "image_std": [
+    0.26862954,
+    0.26130258,
+    0.27577711
+  ],
+  "max_pixels": 12845056,
+  "merge_size": 2,
+  "min_pixels": 3136,
+  "patch_size": 14,
+  "processor_class": "Qwen2_5_VLProcessor",
+  "resample": 3,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "longest_edge": 12845056,
+    "shortest_edge": 3136
+  },
+  "temporal_patch_size": 2
+}

RAFT-Qwen2.5VL-top1-min2cand-ckpts/checkpoint-200/rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f1d565802a8e26c4e8a31328752b7a7fdc186d9401aa008e65697d0ad8c22e33
+size 14645

RAFT-Qwen2.5VL-top1-min2cand-ckpts/checkpoint-200/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ceb9da010f2f6a4f85be50fe5aba831c3a0ebd409e5879ba151460948eb2740e
+size 1465

RAFT-Qwen2.5VL-top1-min2cand-ckpts/checkpoint-200/special_tokens_map.json

@@ -0,0 +1,31 @@
+{
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ],
+  "eos_token": {
+    "content": "<|im_end|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<|vision_pad|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

RAFT-Qwen2.5VL-top1-min2cand-ckpts/checkpoint-200/tokenizer.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:741c85ffe434aad73e934a73ef380c85e94cd863b8f55e1a1ad66cacb5a93dfd
+size 11422164

RAFT-Qwen2.5VL-top1-min2cand-ckpts/checkpoint-200/tokenizer_config.json

@@ -0,0 +1,210 @@
+{
+  "add_bos_token": false,
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "151643": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151644": {
+      "content": "<|im_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151645": {
+      "content": "<|im_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151646": {
+      "content": "<|object_ref_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151647": {
+      "content": "<|object_ref_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151648": {
+      "content": "<|box_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151649": {
+      "content": "<|box_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151650": {
+      "content": "<|quad_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151651": {
+      "content": "<|quad_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151652": {
+      "content": "<|vision_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151653": {
+      "content": "<|vision_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151654": {
+      "content": "<|vision_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151655": {
+      "content": "<|image_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151656": {
+      "content": "<|video_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151657": {
+      "content": "<tool_call>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151658": {
+      "content": "</tool_call>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151659": {
+      "content": "<|fim_prefix|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151660": {
+      "content": "<|fim_middle|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151661": {
+      "content": "<|fim_suffix|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151662": {
+      "content": "<|fim_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151663": {
+      "content": "<|repo_name|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151664": {
+      "content": "<|file_sep|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    }
+  },
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ],
+  "bos_token": null,
+  "chat_template": "{%- if tools %}\n    {{- '<|im_start|>system\\n' }}\n    {%- if messages[0]['role'] == 'system' %}\n        {{- messages[0]['content'] }}\n    {%- else %}\n        {{- 'You are a helpful assistant.' }}\n    {%- endif %}\n    {{- \"\\n\\n# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n    {%- for tool in tools %}\n        {{- \"\\n\" }}\n        {{- tool | tojson }}\n    {%- endfor %}\n    {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n    {%- if messages[0]['role'] == 'system' %}\n        {{- '<|im_start|>system\\n' + messages[0]['content'] + '<|im_end|>\\n' }}\n    {%- else %}\n        {{- '<|im_start|>system\\nYou are a helpful assistant.<|im_end|>\\n' }}\n    {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n    {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) or (message.role == \"assistant\" and not message.tool_calls) %}\n        {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n    {%- elif message.role == \"assistant\" %}\n        {{- '<|im_start|>' + message.role }}\n        {%- if message.content %}\n            {{- '\\n' + message.content }}\n        {%- endif %}\n        {%- for tool_call in message.tool_calls %}\n            {%- if tool_call.function is defined %}\n                {%- set tool_call = tool_call.function %}\n            {%- endif %}\n            {{- '\\n<tool_call>\\n{\"name\": \"' }}\n            {{- tool_call.name }}\n            {{- '\", \"arguments\": ' }}\n            {{- tool_call.arguments | tojson }}\n            {{- '}\\n</tool_call>' }}\n        {%- endfor %}\n        {{- '<|im_end|>\\n' }}\n    {%- elif message.role == \"tool\" %}\n        {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != \"tool\") %}\n            {{- '<|im_start|>user' }}\n        {%- endif %}\n        {{- '\\n<tool_response>\\n' }}\n        {{- message.content }}\n        {{- '\\n</tool_response>' }}\n        {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n            {{- '<|im_end|>\\n' }}\n        {%- endif %}\n    {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n    {{- '<|im_start|>assistant\\n' }}\n{%- endif %}\n",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
+  "extra_special_tokens": {},
+  "model_max_length": 32768,
+  "pad_token": "<|vision_pad|>",
+  "padding_side": "right",
+  "processor_class": "Qwen2_5_VLProcessor",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}

RAFT-Qwen2.5VL-top1-min2cand-ckpts/checkpoint-200/trainer_state.json

@@ -0,0 +1,1434 @@
+{
+  "best_global_step": null,
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 0.2576489533011272,
+  "eval_steps": 500,
+  "global_step": 200,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.0012882447665056361,
+      "grad_norm": 5.262403964996338,
+      "learning_rate": 0.0,
+      "loss": 9.8258,
+      "step": 1
+    },
+    {
+      "epoch": 0.0025764895330112722,
+      "grad_norm": 5.366933822631836,
+      "learning_rate": 4e-05,
+      "loss": 9.8988,
+      "step": 2
+    },
+    {
+      "epoch": 0.003864734299516908,
+      "grad_norm": 5.458187103271484,
+      "learning_rate": 8e-05,
+      "loss": 9.7253,
+      "step": 3
+    },
+    {
+      "epoch": 0.0051529790660225444,
+      "grad_norm": 6.3110432624816895,
+      "learning_rate": 0.00012,
+      "loss": 9.3954,
+      "step": 4
+    },
+    {
+      "epoch": 0.00644122383252818,
+      "grad_norm": 6.78550386428833,
+      "learning_rate": 0.00016,
+      "loss": 7.8535,
+      "step": 5
+    },
+    {
+      "epoch": 0.007729468599033816,
+      "grad_norm": 6.161053657531738,
+      "learning_rate": 0.0002,
+      "loss": 5.7433,
+      "step": 6
+    },
+    {
+      "epoch": 0.009017713365539453,
+      "grad_norm": 2.953165292739868,
+      "learning_rate": 0.00019974059662775616,
+      "loss": 4.0112,
+      "step": 7
+    },
+    {
+      "epoch": 0.010305958132045089,
+      "grad_norm": 2.951970338821411,
+      "learning_rate": 0.00019948119325551234,
+      "loss": 3.5249,
+      "step": 8
+    },
+    {
+      "epoch": 0.011594202898550725,
+      "grad_norm": 3.1278786659240723,
+      "learning_rate": 0.0001992217898832685,
+      "loss": 2.8601,
+      "step": 9
+    },
+    {
+      "epoch": 0.01288244766505636,
+      "grad_norm": 3.560781955718994,
+      "learning_rate": 0.00019896238651102467,
+      "loss": 2.5292,
+      "step": 10
+    },
+    {
+      "epoch": 0.014170692431561997,
+      "grad_norm": 3.736281394958496,
+      "learning_rate": 0.00019870298313878082,
+      "loss": 2.2548,
+      "step": 11
+    },
+    {
+      "epoch": 0.015458937198067632,
+      "grad_norm": 3.2093236446380615,
+      "learning_rate": 0.00019844357976653697,
+      "loss": 1.6844,
+      "step": 12
+    },
+    {
+      "epoch": 0.01674718196457327,
+      "grad_norm": 1.6000800132751465,
+      "learning_rate": 0.00019818417639429315,
+      "loss": 1.6678,
+      "step": 13
+    },
+    {
+      "epoch": 0.018035426731078906,
+      "grad_norm": 1.1950865983963013,
+      "learning_rate": 0.0001979247730220493,
+      "loss": 1.545,
+      "step": 14
+    },
+    {
+      "epoch": 0.01932367149758454,
+      "grad_norm": 1.057097315788269,
+      "learning_rate": 0.00019766536964980547,
+      "loss": 1.3783,
+      "step": 15
+    },
+    {
+      "epoch": 0.020611916264090178,
+      "grad_norm": 3.6531178951263428,
+      "learning_rate": 0.00019740596627756162,
+      "loss": 1.3391,
+      "step": 16
+    },
+    {
+      "epoch": 0.021900161030595812,
+      "grad_norm": 1.3927085399627686,
+      "learning_rate": 0.00019714656290531778,
+      "loss": 1.2096,
+      "step": 17
+    },
+    {
+      "epoch": 0.02318840579710145,
+      "grad_norm": 1.0091526508331299,
+      "learning_rate": 0.00019688715953307395,
+      "loss": 1.0893,
+      "step": 18
+    },
+    {
+      "epoch": 0.024476650563607084,
+      "grad_norm": 0.582187831401825,
+      "learning_rate": 0.00019662775616083008,
+      "loss": 0.9122,
+      "step": 19
+    },
+    {
+      "epoch": 0.02576489533011272,
+      "grad_norm": 0.45811596512794495,
+      "learning_rate": 0.00019636835278858625,
+      "loss": 0.8972,
+      "step": 20
+    },
+    {
+      "epoch": 0.02705314009661836,
+      "grad_norm": 0.5596348643302917,
+      "learning_rate": 0.0001961089494163424,
+      "loss": 0.959,
+      "step": 21
+    },
+    {
+      "epoch": 0.028341384863123993,
+      "grad_norm": 0.5089276432991028,
+      "learning_rate": 0.00019584954604409858,
+      "loss": 0.6338,
+      "step": 22
+    },
+    {
+      "epoch": 0.02962962962962963,
+      "grad_norm": 0.6439465880393982,
+      "learning_rate": 0.00019559014267185473,
+      "loss": 0.7911,
+      "step": 23
+    },
+    {
+      "epoch": 0.030917874396135265,
+      "grad_norm": 0.6328151226043701,
+      "learning_rate": 0.0001953307392996109,
+      "loss": 0.9987,
+      "step": 24
+    },
+    {
+      "epoch": 0.0322061191626409,
+      "grad_norm": 0.5730019211769104,
+      "learning_rate": 0.00019507133592736706,
+      "loss": 0.8724,
+      "step": 25
+    },
+    {
+      "epoch": 0.03349436392914654,
+      "grad_norm": 0.4807477593421936,
+      "learning_rate": 0.0001948119325551232,
+      "loss": 0.8967,
+      "step": 26
+    },
+    {
+      "epoch": 0.034782608695652174,
+      "grad_norm": 0.5236231684684753,
+      "learning_rate": 0.0001945525291828794,
+      "loss": 0.8508,
+      "step": 27
+    },
+    {
+      "epoch": 0.03607085346215781,
+      "grad_norm": 0.4115971326828003,
+      "learning_rate": 0.00019429312581063554,
+      "loss": 0.678,
+      "step": 28
+    },
+    {
+      "epoch": 0.03735909822866344,
+      "grad_norm": 0.41102030873298645,
+      "learning_rate": 0.00019403372243839172,
+      "loss": 0.8701,
+      "step": 29
+    },
+    {
+      "epoch": 0.03864734299516908,
+      "grad_norm": 0.5096181631088257,
+      "learning_rate": 0.00019377431906614787,
+      "loss": 0.8319,
+      "step": 30
+    },
+    {
+      "epoch": 0.03993558776167472,
+      "grad_norm": 0.35217568278312683,
+      "learning_rate": 0.00019351491569390402,
+      "loss": 0.8071,
+      "step": 31
+    },
+    {
+      "epoch": 0.041223832528180356,
+      "grad_norm": 0.39972659945487976,
+      "learning_rate": 0.0001932555123216602,
+      "loss": 0.7544,
+      "step": 32
+    },
+    {
+      "epoch": 0.04251207729468599,
+      "grad_norm": 0.36103618144989014,
+      "learning_rate": 0.00019299610894941635,
+      "loss": 0.689,
+      "step": 33
+    },
+    {
+      "epoch": 0.043800322061191624,
+      "grad_norm": 0.38165056705474854,
+      "learning_rate": 0.00019273670557717253,
+      "loss": 0.8285,
+      "step": 34
+    },
+    {
+      "epoch": 0.04508856682769726,
+      "grad_norm": 0.32468029856681824,
+      "learning_rate": 0.00019247730220492868,
+      "loss": 0.9139,
+      "step": 35
+    },
+    {
+      "epoch": 0.0463768115942029,
+      "grad_norm": 0.40932831168174744,
+      "learning_rate": 0.00019221789883268483,
+      "loss": 0.9248,
+      "step": 36
+    },
+    {
+      "epoch": 0.04766505636070854,
+      "grad_norm": 0.35141539573669434,
+      "learning_rate": 0.000191958495460441,
+      "loss": 0.8364,
+      "step": 37
+    },
+    {
+      "epoch": 0.04895330112721417,
+      "grad_norm": 0.40496382117271423,
+      "learning_rate": 0.00019169909208819716,
+      "loss": 0.6268,
+      "step": 38
+    },
+    {
+      "epoch": 0.050241545893719805,
+      "grad_norm": 0.3912662863731384,
+      "learning_rate": 0.00019143968871595333,
+      "loss": 0.7688,
+      "step": 39
+    },
+    {
+      "epoch": 0.05152979066022544,
+      "grad_norm": 0.411436527967453,
+      "learning_rate": 0.00019118028534370949,
+      "loss": 0.9441,
+      "step": 40
+    },
+    {
+      "epoch": 0.05281803542673108,
+      "grad_norm": 0.39597514271736145,
+      "learning_rate": 0.00019092088197146564,
+      "loss": 0.9375,
+      "step": 41
+    },
+    {
+      "epoch": 0.05410628019323672,
+      "grad_norm": 0.37057411670684814,
+      "learning_rate": 0.00019066147859922181,
+      "loss": 0.843,
+      "step": 42
+    },
+    {
+      "epoch": 0.05539452495974235,
+      "grad_norm": 0.3797967731952667,
+      "learning_rate": 0.00019040207522697794,
+      "loss": 0.8405,
+      "step": 43
+    },
+    {
+      "epoch": 0.056682769726247986,
+      "grad_norm": 0.39558812975883484,
+      "learning_rate": 0.00019014267185473412,
+      "loss": 0.7924,
+      "step": 44
+    },
+    {
+      "epoch": 0.057971014492753624,
+      "grad_norm": 0.3703974485397339,
+      "learning_rate": 0.00018988326848249027,
+      "loss": 0.8211,
+      "step": 45
+    },
+    {
+      "epoch": 0.05925925925925926,
+      "grad_norm": 0.4131820499897003,
+      "learning_rate": 0.00018962386511024644,
+      "loss": 0.8184,
+      "step": 46
+    },
+    {
+      "epoch": 0.06054750402576489,
+      "grad_norm": 0.31977829337120056,
+      "learning_rate": 0.0001893644617380026,
+      "loss": 0.726,
+      "step": 47
+    },
+    {
+      "epoch": 0.06183574879227053,
+      "grad_norm": 0.3597254455089569,
+      "learning_rate": 0.00018910505836575875,
+      "loss": 0.7899,
+      "step": 48
+    },
+    {
+      "epoch": 0.06312399355877617,
+      "grad_norm": 0.3365727365016937,
+      "learning_rate": 0.00018884565499351492,
+      "loss": 0.8046,
+      "step": 49
+    },
+    {
+      "epoch": 0.0644122383252818,
+      "grad_norm": 0.3720993399620056,
+      "learning_rate": 0.00018858625162127107,
+      "loss": 0.7154,
+      "step": 50
+    },
+    {
+      "epoch": 0.06570048309178744,
+      "grad_norm": 0.49059492349624634,
+      "learning_rate": 0.00018832684824902725,
+      "loss": 1.0179,
+      "step": 51
+    },
+    {
+      "epoch": 0.06698872785829307,
+      "grad_norm": 0.349679559469223,
+      "learning_rate": 0.0001880674448767834,
+      "loss": 0.821,
+      "step": 52
+    },
+    {
+      "epoch": 0.06827697262479872,
+      "grad_norm": 0.3414258062839508,
+      "learning_rate": 0.00018780804150453958,
+      "loss": 0.8551,
+      "step": 53
+    },
+    {
+      "epoch": 0.06956521739130435,
+      "grad_norm": 0.3640010356903076,
+      "learning_rate": 0.00018754863813229573,
+      "loss": 0.8017,
+      "step": 54
+    },
+    {
+      "epoch": 0.07085346215780998,
+      "grad_norm": 0.4253976047039032,
+      "learning_rate": 0.00018728923476005188,
+      "loss": 0.9128,
+      "step": 55
+    },
+    {
+      "epoch": 0.07214170692431562,
+      "grad_norm": 0.35879331827163696,
+      "learning_rate": 0.00018702983138780806,
+      "loss": 0.6451,
+      "step": 56
+    },
+    {
+      "epoch": 0.07342995169082125,
+      "grad_norm": 0.3185586929321289,
+      "learning_rate": 0.0001867704280155642,
+      "loss": 0.5574,
+      "step": 57
+    },
+    {
+      "epoch": 0.07471819645732689,
+      "grad_norm": 0.37594854831695557,
+      "learning_rate": 0.0001865110246433204,
+      "loss": 0.6801,
+      "step": 58
+    },
+    {
+      "epoch": 0.07600644122383253,
+      "grad_norm": 0.4002726972103119,
+      "learning_rate": 0.00018625162127107654,
+      "loss": 0.7327,
+      "step": 59
+    },
+    {
+      "epoch": 0.07729468599033816,
+      "grad_norm": 0.33300065994262695,
+      "learning_rate": 0.0001859922178988327,
+      "loss": 0.7138,
+      "step": 60
+    },
+    {
+      "epoch": 0.0785829307568438,
+      "grad_norm": 0.3906570374965668,
+      "learning_rate": 0.00018573281452658887,
+      "loss": 0.7337,
+      "step": 61
+    },
+    {
+      "epoch": 0.07987117552334944,
+      "grad_norm": 0.3438870906829834,
+      "learning_rate": 0.00018547341115434502,
+      "loss": 0.698,
+      "step": 62
+    },
+    {
+      "epoch": 0.08115942028985507,
+      "grad_norm": 0.3743039667606354,
+      "learning_rate": 0.0001852140077821012,
+      "loss": 0.8378,
+      "step": 63
+    },
+    {
+      "epoch": 0.08244766505636071,
+      "grad_norm": 0.3259747624397278,
+      "learning_rate": 0.00018495460440985735,
+      "loss": 0.6315,
+      "step": 64
+    },
+    {
+      "epoch": 0.08373590982286634,
+      "grad_norm": 0.3895297050476074,
+      "learning_rate": 0.0001846952010376135,
+      "loss": 0.7263,
+      "step": 65
+    },
+    {
+      "epoch": 0.08502415458937199,
+      "grad_norm": 0.3410950005054474,
+      "learning_rate": 0.00018443579766536967,
+      "loss": 0.7499,
+      "step": 66
+    },
+    {
+      "epoch": 0.08631239935587762,
+      "grad_norm": 0.42679062485694885,
+      "learning_rate": 0.0001841763942931258,
+      "loss": 0.637,
+      "step": 67
+    },
+    {
+      "epoch": 0.08760064412238325,
+      "grad_norm": 0.33153036236763,
+      "learning_rate": 0.00018391699092088198,
+      "loss": 0.7374,
+      "step": 68
+    },
+    {
+      "epoch": 0.08888888888888889,
+      "grad_norm": 0.4067535698413849,
+      "learning_rate": 0.00018365758754863813,
+      "loss": 0.8188,
+      "step": 69
+    },
+    {
+      "epoch": 0.09017713365539452,
+      "grad_norm": 0.43531498312950134,
+      "learning_rate": 0.0001833981841763943,
+      "loss": 0.7233,
+      "step": 70
+    },
+    {
+      "epoch": 0.09146537842190017,
+      "grad_norm": 0.34313544631004333,
+      "learning_rate": 0.00018313878080415046,
+      "loss": 0.7082,
+      "step": 71
+    },
+    {
+      "epoch": 0.0927536231884058,
+      "grad_norm": 0.4499073922634125,
+      "learning_rate": 0.0001828793774319066,
+      "loss": 0.7944,
+      "step": 72
+    },
+    {
+      "epoch": 0.09404186795491143,
+      "grad_norm": 0.3997962474822998,
+      "learning_rate": 0.00018261997405966278,
+      "loss": 0.7768,
+      "step": 73
+    },
+    {
+      "epoch": 0.09533011272141707,
+      "grad_norm": 0.3584403991699219,
+      "learning_rate": 0.00018236057068741893,
+      "loss": 0.6918,
+      "step": 74
+    },
+    {
+      "epoch": 0.0966183574879227,
+      "grad_norm": 0.386200487613678,
+      "learning_rate": 0.0001821011673151751,
+      "loss": 0.8057,
+      "step": 75
+    },
+    {
+      "epoch": 0.09790660225442833,
+      "grad_norm": 0.4260252118110657,
+      "learning_rate": 0.00018184176394293126,
+      "loss": 0.9566,
+      "step": 76
+    },
+    {
+      "epoch": 0.09919484702093398,
+      "grad_norm": 0.365682452917099,
+      "learning_rate": 0.0001815823605706874,
+      "loss": 0.6916,
+      "step": 77
+    },
+    {
+      "epoch": 0.10048309178743961,
+      "grad_norm": 0.4001545011997223,
+      "learning_rate": 0.0001813229571984436,
+      "loss": 0.744,
+      "step": 78
+    },
+    {
+      "epoch": 0.10177133655394525,
+      "grad_norm": 0.3634803295135498,
+      "learning_rate": 0.00018106355382619974,
+      "loss": 0.8526,
+      "step": 79
+    },
+    {
+      "epoch": 0.10305958132045089,
+      "grad_norm": 0.3756248950958252,
+      "learning_rate": 0.00018080415045395592,
+      "loss": 0.7736,
+      "step": 80
+    },
+    {
+      "epoch": 0.10434782608695652,
+      "grad_norm": 0.3772340416908264,
+      "learning_rate": 0.00018054474708171207,
+      "loss": 0.8625,
+      "step": 81
+    },
+    {
+      "epoch": 0.10563607085346216,
+      "grad_norm": 0.3710072636604309,
+      "learning_rate": 0.00018028534370946825,
+      "loss": 0.6527,
+      "step": 82
+    },
+    {
+      "epoch": 0.10692431561996779,
+      "grad_norm": 0.39302870631217957,
+      "learning_rate": 0.0001800259403372244,
+      "loss": 0.776,
+      "step": 83
+    },
+    {
+      "epoch": 0.10821256038647344,
+      "grad_norm": 0.4005106985569,
+      "learning_rate": 0.00017976653696498055,
+      "loss": 0.7742,
+      "step": 84
+    },
+    {
+      "epoch": 0.10950080515297907,
+      "grad_norm": 0.3943251669406891,
+      "learning_rate": 0.00017950713359273673,
+      "loss": 0.7904,
+      "step": 85
+    },
+    {
+      "epoch": 0.1107890499194847,
+      "grad_norm": 0.4574766755104065,
+      "learning_rate": 0.00017924773022049288,
+      "loss": 0.7703,
+      "step": 86
+    },
+    {
+      "epoch": 0.11207729468599034,
+      "grad_norm": 0.41561025381088257,
+      "learning_rate": 0.00017898832684824906,
+      "loss": 0.814,
+      "step": 87
+    },
+    {
+      "epoch": 0.11336553945249597,
+      "grad_norm": 0.3998861312866211,
+      "learning_rate": 0.0001787289234760052,
+      "loss": 0.7781,
+      "step": 88
+    },
+    {
+      "epoch": 0.11465378421900162,
+      "grad_norm": 0.3865020275115967,
+      "learning_rate": 0.00017846952010376136,
+      "loss": 0.5702,
+      "step": 89
+    },
+    {
+      "epoch": 0.11594202898550725,
+      "grad_norm": 0.42256155610084534,
+      "learning_rate": 0.00017821011673151754,
+      "loss": 0.8718,
+      "step": 90
+    },
+    {
+      "epoch": 0.11723027375201288,
+      "grad_norm": 0.4352784752845764,
+      "learning_rate": 0.00017795071335927366,
+      "loss": 0.5581,
+      "step": 91
+    },
+    {
+      "epoch": 0.11851851851851852,
+      "grad_norm": 0.4169948995113373,
+      "learning_rate": 0.00017769130998702984,
+      "loss": 0.8848,
+      "step": 92
+    },
+    {
+      "epoch": 0.11980676328502415,
+      "grad_norm": 0.427137166261673,
+      "learning_rate": 0.000177431906614786,
+      "loss": 0.7896,
+      "step": 93
+    },
+    {
+      "epoch": 0.12109500805152978,
+      "grad_norm": 0.40028682351112366,
+      "learning_rate": 0.00017717250324254217,
+      "loss": 0.6213,
+      "step": 94
+    },
+    {
+      "epoch": 0.12238325281803543,
+      "grad_norm": 0.4058162569999695,
+      "learning_rate": 0.00017691309987029832,
+      "loss": 0.7196,
+      "step": 95
+    },
+    {
+      "epoch": 0.12367149758454106,
+      "grad_norm": 0.36246687173843384,
+      "learning_rate": 0.00017665369649805447,
+      "loss": 0.6107,
+      "step": 96
+    },
+    {
+      "epoch": 0.1249597423510467,
+      "grad_norm": 0.43806013464927673,
+      "learning_rate": 0.00017639429312581064,
+      "loss": 0.6867,
+      "step": 97
+    },
+    {
+      "epoch": 0.12624798711755233,
+      "grad_norm": 0.4309624135494232,
+      "learning_rate": 0.0001761348897535668,
+      "loss": 0.9121,
+      "step": 98
+    },
+    {
+      "epoch": 0.12753623188405797,
+      "grad_norm": 0.44031617045402527,
+      "learning_rate": 0.00017587548638132297,
+      "loss": 0.9044,
+      "step": 99
+    },
+    {
+      "epoch": 0.1288244766505636,
+      "grad_norm": 0.4357609450817108,
+      "learning_rate": 0.00017561608300907912,
+      "loss": 0.6607,
+      "step": 100
+    },
+    {
+      "epoch": 0.13011272141706925,
+      "grad_norm": 0.4433279037475586,
+      "learning_rate": 0.00017535667963683527,
+      "loss": 0.6842,
+      "step": 101
+    },
+    {
+      "epoch": 0.13140096618357489,
+      "grad_norm": 0.5885293483734131,
+      "learning_rate": 0.00017509727626459145,
+      "loss": 0.9635,
+      "step": 102
+    },
+    {
+      "epoch": 0.13268921095008052,
+      "grad_norm": 0.44983139634132385,
+      "learning_rate": 0.0001748378728923476,
+      "loss": 0.765,
+      "step": 103
+    },
+    {
+      "epoch": 0.13397745571658615,
+      "grad_norm": 0.40941494703292847,
+      "learning_rate": 0.00017457846952010378,
+      "loss": 0.6072,
+      "step": 104
+    },
+    {
+      "epoch": 0.13526570048309178,
+      "grad_norm": 0.3955368995666504,
+      "learning_rate": 0.00017431906614785993,
+      "loss": 0.6426,
+      "step": 105
+    },
+    {
+      "epoch": 0.13655394524959744,
+      "grad_norm": 0.4010334014892578,
+      "learning_rate": 0.00017405966277561608,
+      "loss": 0.6746,
+      "step": 106
+    },
+    {
+      "epoch": 0.13784219001610307,
+      "grad_norm": 0.4469926357269287,
+      "learning_rate": 0.00017380025940337226,
+      "loss": 0.6095,
+      "step": 107
+    },
+    {
+      "epoch": 0.1391304347826087,
+      "grad_norm": 0.3916209042072296,
+      "learning_rate": 0.0001735408560311284,
+      "loss": 0.6978,
+      "step": 108
+    },
+    {
+      "epoch": 0.14041867954911433,
+      "grad_norm": 0.42181602120399475,
+      "learning_rate": 0.0001732814526588846,
+      "loss": 0.6811,
+      "step": 109
+    },
+    {
+      "epoch": 0.14170692431561996,
+      "grad_norm": 0.4556797742843628,
+      "learning_rate": 0.00017302204928664074,
+      "loss": 0.7066,
+      "step": 110
+    },
+    {
+      "epoch": 0.14299516908212562,
+      "grad_norm": 0.368115097284317,
+      "learning_rate": 0.00017276264591439692,
+      "loss": 0.7384,
+      "step": 111
+    },
+    {
+      "epoch": 0.14428341384863125,
+      "grad_norm": 0.38313692808151245,
+      "learning_rate": 0.00017250324254215307,
+      "loss": 0.6031,
+      "step": 112
+    },
+    {
+      "epoch": 0.14557165861513688,
+      "grad_norm": 0.5143454074859619,
+      "learning_rate": 0.00017224383916990922,
+      "loss": 0.9807,
+      "step": 113
+    },
+    {
+      "epoch": 0.1468599033816425,
+      "grad_norm": 0.5188304781913757,
+      "learning_rate": 0.0001719844357976654,
+      "loss": 0.8019,
+      "step": 114
+    },
+    {
+      "epoch": 0.14814814814814814,
+      "grad_norm": 0.48551270365715027,
+      "learning_rate": 0.00017172503242542152,
+      "loss": 0.8496,
+      "step": 115
+    },
+    {
+      "epoch": 0.14943639291465377,
+      "grad_norm": 0.3970145881175995,
+      "learning_rate": 0.0001714656290531777,
+      "loss": 0.7355,
+      "step": 116
+    },
+    {
+      "epoch": 0.15072463768115943,
+      "grad_norm": 0.49950772523880005,
+      "learning_rate": 0.00017120622568093385,
+      "loss": 0.8152,
+      "step": 117
+    },
+    {
+      "epoch": 0.15201288244766506,
+      "grad_norm": 0.41540655493736267,
+      "learning_rate": 0.00017094682230869003,
+      "loss": 0.6123,
+      "step": 118
+    },
+    {
+      "epoch": 0.1533011272141707,
+      "grad_norm": 0.4993124008178711,
+      "learning_rate": 0.00017068741893644618,
+      "loss": 0.7619,
+      "step": 119
+    },
+    {
+      "epoch": 0.15458937198067632,
+      "grad_norm": 0.5129902958869934,
+      "learning_rate": 0.00017042801556420233,
+      "loss": 0.7308,
+      "step": 120
+    },
+    {
+      "epoch": 0.15587761674718195,
+      "grad_norm": 0.43627041578292847,
+      "learning_rate": 0.0001701686121919585,
+      "loss": 0.727,
+      "step": 121
+    },
+    {
+      "epoch": 0.1571658615136876,
+      "grad_norm": 0.43325018882751465,
+      "learning_rate": 0.00016990920881971466,
+      "loss": 0.697,
+      "step": 122
+    },
+    {
+      "epoch": 0.15845410628019324,
+      "grad_norm": 0.4153127074241638,
+      "learning_rate": 0.00016964980544747083,
+      "loss": 0.9565,
+      "step": 123
+    },
+    {
+      "epoch": 0.15974235104669887,
+      "grad_norm": 0.4094031751155853,
+      "learning_rate": 0.00016939040207522698,
+      "loss": 0.6999,
+      "step": 124
+    },
+    {
+      "epoch": 0.1610305958132045,
+      "grad_norm": 0.42978209257125854,
+      "learning_rate": 0.00016913099870298313,
+      "loss": 0.7255,
+      "step": 125
+    },
+    {
+      "epoch": 0.16231884057971013,
+      "grad_norm": 0.47310638427734375,
+      "learning_rate": 0.0001688715953307393,
+      "loss": 0.8283,
+      "step": 126
+    },
+    {
+      "epoch": 0.1636070853462158,
+      "grad_norm": 0.532943606376648,
+      "learning_rate": 0.00016861219195849546,
+      "loss": 0.9168,
+      "step": 127
+    },
+    {
+      "epoch": 0.16489533011272142,
+      "grad_norm": 0.4403317868709564,
+      "learning_rate": 0.00016835278858625164,
+      "loss": 0.5668,
+      "step": 128
+    },
+    {
+      "epoch": 0.16618357487922705,
+      "grad_norm": 0.4338042140007019,
+      "learning_rate": 0.0001680933852140078,
+      "loss": 0.7227,
+      "step": 129
+    },
+    {
+      "epoch": 0.16747181964573268,
+      "grad_norm": 0.4417431950569153,
+      "learning_rate": 0.00016783398184176394,
+      "loss": 0.6057,
+      "step": 130
+    },
+    {
+      "epoch": 0.16876006441223831,
+      "grad_norm": 0.43708720803260803,
+      "learning_rate": 0.00016757457846952012,
+      "loss": 0.562,
+      "step": 131
+    },
+    {
+      "epoch": 0.17004830917874397,
+      "grad_norm": 0.45559972524642944,
+      "learning_rate": 0.00016731517509727627,
+      "loss": 0.8534,
+      "step": 132
+    },
+    {
+      "epoch": 0.1713365539452496,
+      "grad_norm": 0.5106703042984009,
+      "learning_rate": 0.00016705577172503245,
+      "loss": 0.8484,
+      "step": 133
+    },
+    {
+      "epoch": 0.17262479871175523,
+      "grad_norm": 0.428514689207077,
+      "learning_rate": 0.0001667963683527886,
+      "loss": 0.559,
+      "step": 134
+    },
+    {
+      "epoch": 0.17391304347826086,
+      "grad_norm": 0.4175085127353668,
+      "learning_rate": 0.00016653696498054475,
+      "loss": 0.7303,
+      "step": 135
+    },
+    {
+      "epoch": 0.1752012882447665,
+      "grad_norm": 0.45730292797088623,
+      "learning_rate": 0.00016627756160830093,
+      "loss": 0.8048,
+      "step": 136
+    },
+    {
+      "epoch": 0.17648953301127215,
+      "grad_norm": 0.4505404531955719,
+      "learning_rate": 0.00016601815823605708,
+      "loss": 0.8778,
+      "step": 137
+    },
+    {
+      "epoch": 0.17777777777777778,
+      "grad_norm": 0.4573550820350647,
+      "learning_rate": 0.00016575875486381326,
+      "loss": 0.7173,
+      "step": 138
+    },
+    {
+      "epoch": 0.17906602254428342,
+      "grad_norm": 0.4772025942802429,
+      "learning_rate": 0.00016549935149156938,
+      "loss": 0.6865,
+      "step": 139
+    },
+    {
+      "epoch": 0.18035426731078905,
+      "grad_norm": 0.4087829887866974,
+      "learning_rate": 0.00016523994811932556,
+      "loss": 0.6165,
+      "step": 140
+    },
+    {
+      "epoch": 0.18164251207729468,
+      "grad_norm": 0.4026786983013153,
+      "learning_rate": 0.0001649805447470817,
+      "loss": 0.6544,
+      "step": 141
+    },
+    {
+      "epoch": 0.18293075684380034,
+      "grad_norm": 0.46238380670547485,
+      "learning_rate": 0.00016472114137483789,
+      "loss": 0.7149,
+      "step": 142
+    },
+    {
+      "epoch": 0.18421900161030597,
+      "grad_norm": 0.4716030955314636,
+      "learning_rate": 0.00016446173800259404,
+      "loss": 0.7878,
+      "step": 143
+    },
+    {
+      "epoch": 0.1855072463768116,
+      "grad_norm": 0.42293375730514526,
+      "learning_rate": 0.0001642023346303502,
+      "loss": 0.5902,
+      "step": 144
+    },
+    {
+      "epoch": 0.18679549114331723,
+      "grad_norm": 0.41398197412490845,
+      "learning_rate": 0.00016394293125810637,
+      "loss": 0.7664,
+      "step": 145
+    },
+    {
+      "epoch": 0.18808373590982286,
+      "grad_norm": 0.4364947974681854,
+      "learning_rate": 0.00016368352788586252,
+      "loss": 0.7569,
+      "step": 146
+    },
+    {
+      "epoch": 0.18937198067632852,
+      "grad_norm": 0.4222882091999054,
+      "learning_rate": 0.0001634241245136187,
+      "loss": 0.8327,
+      "step": 147
+    },
+    {
+      "epoch": 0.19066022544283415,
+      "grad_norm": 0.455157995223999,
+      "learning_rate": 0.00016316472114137484,
+      "loss": 0.9165,
+      "step": 148
+    },
+    {
+      "epoch": 0.19194847020933978,
+      "grad_norm": 0.43848827481269836,
+      "learning_rate": 0.000162905317769131,
+      "loss": 0.9128,
+      "step": 149
+    },
+    {
+      "epoch": 0.1932367149758454,
+      "grad_norm": 0.41705894470214844,
+      "learning_rate": 0.00016264591439688717,
+      "loss": 0.6617,
+      "step": 150
+    },
+    {
+      "epoch": 0.19452495974235104,
+      "grad_norm": 0.49762025475502014,
+      "learning_rate": 0.00016238651102464332,
+      "loss": 0.6801,
+      "step": 151
+    },
+    {
+      "epoch": 0.19581320450885667,
+      "grad_norm": 0.45662441849708557,
+      "learning_rate": 0.0001621271076523995,
+      "loss": 0.6993,
+      "step": 152
+    },
+    {
+      "epoch": 0.19710144927536233,
+      "grad_norm": 0.585777997970581,
+      "learning_rate": 0.00016186770428015565,
+      "loss": 0.8672,
+      "step": 153
+    },
+    {
+      "epoch": 0.19838969404186796,
+      "grad_norm": 0.4230654537677765,
+      "learning_rate": 0.0001616083009079118,
+      "loss": 0.838,
+      "step": 154
+    },
+    {
+      "epoch": 0.1996779388083736,
+      "grad_norm": 0.4406936764717102,
+      "learning_rate": 0.00016134889753566798,
+      "loss": 0.8018,
+      "step": 155
+    },
+    {
+      "epoch": 0.20096618357487922,
+      "grad_norm": 0.476319283246994,
+      "learning_rate": 0.00016108949416342413,
+      "loss": 0.8235,
+      "step": 156
+    },
+    {
+      "epoch": 0.20225442834138485,
+      "grad_norm": 0.42555317282676697,
+      "learning_rate": 0.0001608300907911803,
+      "loss": 0.711,
+      "step": 157
+    },
+    {
+      "epoch": 0.2035426731078905,
+      "grad_norm": 0.44062644243240356,
+      "learning_rate": 0.00016057068741893646,
+      "loss": 0.7533,
+      "step": 158
+    },
+    {
+      "epoch": 0.20483091787439614,
+      "grad_norm": 0.5058566927909851,
+      "learning_rate": 0.0001603112840466926,
+      "loss": 0.9281,
+      "step": 159
+    },
+    {
+      "epoch": 0.20611916264090177,
+      "grad_norm": 0.5150231122970581,
+      "learning_rate": 0.0001600518806744488,
+      "loss": 0.7769,
+      "step": 160
+    },
+    {
+      "epoch": 0.2074074074074074,
+      "grad_norm": 0.41492998600006104,
+      "learning_rate": 0.00015979247730220494,
+      "loss": 0.6875,
+      "step": 161
+    },
+    {
+      "epoch": 0.20869565217391303,
+      "grad_norm": 0.5054889917373657,
+      "learning_rate": 0.00015953307392996112,
+      "loss": 0.8007,
+      "step": 162
+    },
+    {
+      "epoch": 0.2099838969404187,
+      "grad_norm": 0.4543089270591736,
+      "learning_rate": 0.00015927367055771724,
+      "loss": 0.7487,
+      "step": 163
+    },
+    {
+      "epoch": 0.21127214170692432,
+      "grad_norm": 0.4532124400138855,
+      "learning_rate": 0.00015901426718547342,
+      "loss": 0.8014,
+      "step": 164
+    },
+    {
+      "epoch": 0.21256038647342995,
+      "grad_norm": 0.4352071285247803,
+      "learning_rate": 0.00015875486381322957,
+      "loss": 0.6654,
+      "step": 165
+    },
+    {
+      "epoch": 0.21384863123993558,
+      "grad_norm": 0.47212234139442444,
+      "learning_rate": 0.00015849546044098572,
+      "loss": 0.7287,
+      "step": 166
+    },
+    {
+      "epoch": 0.2151368760064412,
+      "grad_norm": 0.46166136860847473,
+      "learning_rate": 0.0001582360570687419,
+      "loss": 0.6967,
+      "step": 167
+    },
+    {
+      "epoch": 0.21642512077294687,
+      "grad_norm": 0.42468127608299255,
+      "learning_rate": 0.00015797665369649805,
+      "loss": 0.7511,
+      "step": 168
+    },
+    {
+      "epoch": 0.2177133655394525,
+      "grad_norm": 0.4317660927772522,
+      "learning_rate": 0.00015771725032425423,
+      "loss": 0.6838,
+      "step": 169
+    },
+    {
+      "epoch": 0.21900161030595813,
+      "grad_norm": 0.43196195363998413,
+      "learning_rate": 0.00015745784695201038,
+      "loss": 0.767,
+      "step": 170
+    },
+    {
+      "epoch": 0.22028985507246376,
+      "grad_norm": 0.5359659194946289,
+      "learning_rate": 0.00015719844357976655,
+      "loss": 0.8762,
+      "step": 171
+    },
+    {
+      "epoch": 0.2215780998389694,
+      "grad_norm": 0.4905572831630707,
+      "learning_rate": 0.0001569390402075227,
+      "loss": 0.6403,
+      "step": 172
+    },
+    {
+      "epoch": 0.22286634460547505,
+      "grad_norm": 0.5167751312255859,
+      "learning_rate": 0.00015667963683527886,
+      "loss": 0.6567,
+      "step": 173
+    },
+    {
+      "epoch": 0.22415458937198068,
+      "grad_norm": 0.5228043794631958,
+      "learning_rate": 0.00015642023346303503,
+      "loss": 0.9136,
+      "step": 174
+    },
+    {
+      "epoch": 0.22544283413848631,
+      "grad_norm": 0.5335633158683777,
+      "learning_rate": 0.00015616083009079118,
+      "loss": 0.8523,
+      "step": 175
+    },
+    {
+      "epoch": 0.22673107890499195,
+      "grad_norm": 0.5162991881370544,
+      "learning_rate": 0.00015590142671854736,
+      "loss": 0.8421,
+      "step": 176
+    },
+    {
+      "epoch": 0.22801932367149758,
+      "grad_norm": 0.44485965371131897,
+      "learning_rate": 0.0001556420233463035,
+      "loss": 0.676,
+      "step": 177
+    },
+    {
+      "epoch": 0.22930756843800323,
+      "grad_norm": 0.5380906462669373,
+      "learning_rate": 0.00015538261997405966,
+      "loss": 0.7508,
+      "step": 178
+    },
+    {
+      "epoch": 0.23059581320450886,
+      "grad_norm": 0.43846485018730164,
+      "learning_rate": 0.00015512321660181584,
+      "loss": 0.7796,
+      "step": 179
+    },
+    {
+      "epoch": 0.2318840579710145,
+      "grad_norm": 0.4705115854740143,
+      "learning_rate": 0.000154863813229572,
+      "loss": 0.7306,
+      "step": 180
+    },
+    {
+      "epoch": 0.23317230273752013,
+      "grad_norm": 0.48170074820518494,
+      "learning_rate": 0.00015460440985732817,
+      "loss": 0.6595,
+      "step": 181
+    },
+    {
+      "epoch": 0.23446054750402576,
+      "grad_norm": 0.4495287835597992,
+      "learning_rate": 0.00015434500648508432,
+      "loss": 0.515,
+      "step": 182
+    },
+    {
+      "epoch": 0.2357487922705314,
+      "grad_norm": 0.4604053795337677,
+      "learning_rate": 0.00015408560311284047,
+      "loss": 0.6785,
+      "step": 183
+    },
+    {
+      "epoch": 0.23703703703703705,
+      "grad_norm": 0.48287808895111084,
+      "learning_rate": 0.00015382619974059665,
+      "loss": 0.8188,
+      "step": 184
+    },
+    {
+      "epoch": 0.23832528180354268,
+      "grad_norm": 0.47007080912590027,
+      "learning_rate": 0.0001535667963683528,
+      "loss": 0.8976,
+      "step": 185
+    },
+    {
+      "epoch": 0.2396135265700483,
+      "grad_norm": 0.4318341016769409,
+      "learning_rate": 0.00015330739299610898,
+      "loss": 0.9089,
+      "step": 186
+    },
+    {
+      "epoch": 0.24090177133655394,
+      "grad_norm": 0.5025903582572937,
+      "learning_rate": 0.0001530479896238651,
+      "loss": 0.7002,
+      "step": 187
+    },
+    {
+      "epoch": 0.24219001610305957,
+      "grad_norm": 0.4505878686904907,
+      "learning_rate": 0.00015278858625162128,
+      "loss": 0.8059,
+      "step": 188
+    },
+    {
+      "epoch": 0.24347826086956523,
+      "grad_norm": 0.4678569734096527,
+      "learning_rate": 0.00015252918287937743,
+      "loss": 0.7557,
+      "step": 189
+    },
+    {
+      "epoch": 0.24476650563607086,
+      "grad_norm": 0.4309605062007904,
+      "learning_rate": 0.00015226977950713358,
+      "loss": 0.6853,
+      "step": 190
+    },
+    {
+      "epoch": 0.2460547504025765,
+      "grad_norm": 0.4838751554489136,
+      "learning_rate": 0.00015201037613488976,
+      "loss": 0.7379,
+      "step": 191
+    },
+    {
+      "epoch": 0.24734299516908212,
+      "grad_norm": 0.6171398758888245,
+      "learning_rate": 0.0001517509727626459,
+      "loss": 0.7064,
+      "step": 192
+    },
+    {
+      "epoch": 0.24863123993558775,
+      "grad_norm": 0.40880852937698364,
+      "learning_rate": 0.0001514915693904021,
+      "loss": 0.814,
+      "step": 193
+    },
+    {
+      "epoch": 0.2499194847020934,
+      "grad_norm": 0.44109100103378296,
+      "learning_rate": 0.00015123216601815824,
+      "loss": 0.5855,
+      "step": 194
+    },
+    {
+      "epoch": 0.25120772946859904,
+      "grad_norm": 0.4758540689945221,
+      "learning_rate": 0.0001509727626459144,
+      "loss": 0.6589,
+      "step": 195
+    },
+    {
+      "epoch": 0.25249597423510467,
+      "grad_norm": 0.43624359369277954,
+      "learning_rate": 0.00015071335927367057,
+      "loss": 0.6064,
+      "step": 196
+    },
+    {
+      "epoch": 0.2537842190016103,
+      "grad_norm": 0.5243918895721436,
+      "learning_rate": 0.00015045395590142672,
+      "loss": 0.7465,
+      "step": 197
+    },
+    {
+      "epoch": 0.25507246376811593,
+      "grad_norm": 0.45572882890701294,
+      "learning_rate": 0.0001501945525291829,
+      "loss": 0.7878,
+      "step": 198
+    },
+    {
+      "epoch": 0.25636070853462156,
+      "grad_norm": 0.4809209704399109,
+      "learning_rate": 0.00014993514915693904,
+      "loss": 0.6445,
+      "step": 199
+    },
+    {
+      "epoch": 0.2576489533011272,
+      "grad_norm": 0.5390660762786865,
+      "learning_rate": 0.00014967574578469522,
+      "loss": 0.7883,
+      "step": 200
+    }
+  ],
+  "logging_steps": 1,
+  "max_steps": 776,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 1,
+  "save_steps": 100,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": false
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 1.5861320523976704e+17,
+  "train_batch_size": 4,
+  "trial_name": null,
+  "trial_params": null
+}

RAFT-Qwen2.5VL-top1-min2cand-ckpts/checkpoint-200/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7bd30bd30d599ec5545d25d46742876009ffca4b5f3fcbccf8898bb989d0e41d
+size 6033

RAFT-Qwen2.5VL-top1-min2cand-ckpts/checkpoint-300/README.md

@@ -0,0 +1,202 @@
+---
+base_model: unsloth/qwen2.5-vl-7b-instruct-unsloth-bnb-4bit
+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 0.15.2

RAFT-Qwen2.5VL-top1-min2cand-ckpts/checkpoint-300/adapter_config.json

@@ -0,0 +1,31 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "unsloth/qwen2.5-vl-7b-instruct-unsloth-bnb-4bit",
+  "bias": "none",
+  "corda_config": null,
+  "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,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": "(?:.*?(?:vision|image|visual|patch|language|text).*?(?:self_attn|attention|attn|mlp|feed_forward|ffn|dense).*?(?:qkv|proj|gate_proj|up_proj|down_proj|q_proj|k_proj|v_proj|o_proj).*?)|(?:\\bmodel\\.layers\\.[\\d]{1,}\\.(?:self_attn|attention|attn|mlp|feed_forward|ffn|dense)\\.(?:(?:qkv|proj|gate_proj|up_proj|down_proj|q_proj|k_proj|v_proj|o_proj)))",
+  "task_type": "CAUSAL_LM",
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_rslora": false
+}

RAFT-Qwen2.5VL-top1-min2cand-ckpts/checkpoint-300/adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:27604b74839d2ee96d6a15f851db2af66225d8048c0fee71468d097df61cc56d
+size 206181032

RAFT-Qwen2.5VL-top1-min2cand-ckpts/checkpoint-300/added_tokens.json

@@ -0,0 +1,24 @@
+{
+  "</tool_call>": 151658,
+  "<tool_call>": 151657,
+  "<|box_end|>": 151649,
+  "<|box_start|>": 151648,
+  "<|endoftext|>": 151643,
+  "<|file_sep|>": 151664,
+  "<|fim_middle|>": 151660,
+  "<|fim_pad|>": 151662,
+  "<|fim_prefix|>": 151659,
+  "<|fim_suffix|>": 151661,
+  "<|im_end|>": 151645,
+  "<|im_start|>": 151644,
+  "<|image_pad|>": 151655,
+  "<|object_ref_end|>": 151647,
+  "<|object_ref_start|>": 151646,
+  "<|quad_end|>": 151651,
+  "<|quad_start|>": 151650,
+  "<|repo_name|>": 151663,
+  "<|video_pad|>": 151656,
+  "<|vision_end|>": 151653,
+  "<|vision_pad|>": 151654,
+  "<|vision_start|>": 151652
+}

RAFT-Qwen2.5VL-top1-min2cand-ckpts/checkpoint-300/chat_template.json

@@ -0,0 +1,3 @@
+{
+  "chat_template": "{% set image_count = namespace(value=0) %}{% set video_count = namespace(value=0) %}{% for message in messages %}{% if loop.first and message['role'] != 'system' %}<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n{% endif %}<|im_start|>{{ message['role'] }}\n{% if message['content'] is string %}{{ message['content'] }}<|im_end|>\n{% else %}{% for content in message['content'] %}{% if content['type'] == 'image' or 'image' in content or 'image_url' in content %}{% set image_count.value = image_count.value + 1 %}{% if add_vision_id %}Picture {{ image_count.value }}: {% endif %}<|vision_start|><|image_pad|><|vision_end|>{% elif content['type'] == 'video' or 'video' in content %}{% set video_count.value = video_count.value + 1 %}{% if add_vision_id %}Video {{ video_count.value }}: {% endif %}<|vision_start|><|video_pad|><|vision_end|>{% elif 'text' in content %}{{ content['text'] }}{% endif %}{% endfor %}<|im_end|>\n{% endif %}{% endfor %}{% if add_generation_prompt %}<|im_start|>assistant\n{% endif %}"
+}

RAFT-Qwen2.5VL-top1-min2cand-ckpts/checkpoint-300/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:be8bd3274f3fe0e701aa5eb5fea353746e1a549025e3941f303d77392b0fff92
+size 82462661

RAFT-Qwen2.5VL-top1-min2cand-ckpts/checkpoint-300/preprocessor_config.json

@@ -0,0 +1,29 @@
+{
+  "do_convert_rgb": true,
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.48145466,
+    0.4578275,
+    0.40821073
+  ],
+  "image_processor_type": "Qwen2VLImageProcessor",
+  "image_std": [
+    0.26862954,
+    0.26130258,
+    0.27577711
+  ],
+  "max_pixels": 12845056,
+  "merge_size": 2,
+  "min_pixels": 3136,
+  "patch_size": 14,
+  "processor_class": "Qwen2_5_VLProcessor",
+  "resample": 3,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "longest_edge": 12845056,
+    "shortest_edge": 3136
+  },
+  "temporal_patch_size": 2
+}

RAFT-Qwen2.5VL-top1-min2cand-ckpts/checkpoint-300/rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f1d565802a8e26c4e8a31328752b7a7fdc186d9401aa008e65697d0ad8c22e33
+size 14645

RAFT-Qwen2.5VL-top1-min2cand-ckpts/checkpoint-300/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0c20b1ae2c922eacdc7f2e501477e7ff61ef21eeda7e7eeb9af5af4c1ccbbc3c
+size 1465

RAFT-Qwen2.5VL-top1-min2cand-ckpts/checkpoint-300/special_tokens_map.json

@@ -0,0 +1,31 @@
+{
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ],
+  "eos_token": {
+    "content": "<|im_end|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<|vision_pad|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

RAFT-Qwen2.5VL-top1-min2cand-ckpts/checkpoint-300/tokenizer.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:741c85ffe434aad73e934a73ef380c85e94cd863b8f55e1a1ad66cacb5a93dfd
+size 11422164

RAFT-Qwen2.5VL-top1-min2cand-ckpts/checkpoint-300/tokenizer_config.json

@@ -0,0 +1,210 @@
+{
+  "add_bos_token": false,
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "151643": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151644": {
+      "content": "<|im_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151645": {
+      "content": "<|im_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151646": {
+      "content": "<|object_ref_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151647": {
+      "content": "<|object_ref_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151648": {
+      "content": "<|box_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151649": {
+      "content": "<|box_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151650": {
+      "content": "<|quad_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151651": {
+      "content": "<|quad_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151652": {
+      "content": "<|vision_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151653": {
+      "content": "<|vision_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151654": {
+      "content": "<|vision_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151655": {
+      "content": "<|image_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151656": {
+      "content": "<|video_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151657": {
+      "content": "<tool_call>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151658": {
+      "content": "</tool_call>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151659": {
+      "content": "<|fim_prefix|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151660": {
+      "content": "<|fim_middle|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151661": {
+      "content": "<|fim_suffix|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151662": {
+      "content": "<|fim_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151663": {
+      "content": "<|repo_name|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151664": {
+      "content": "<|file_sep|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    }
+  },
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ],
+  "bos_token": null,
+  "chat_template": "{%- if tools %}\n    {{- '<|im_start|>system\\n' }}\n    {%- if messages[0]['role'] == 'system' %}\n        {{- messages[0]['content'] }}\n    {%- else %}\n        {{- 'You are a helpful assistant.' }}\n    {%- endif %}\n    {{- \"\\n\\n# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n    {%- for tool in tools %}\n        {{- \"\\n\" }}\n        {{- tool | tojson }}\n    {%- endfor %}\n    {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n    {%- if messages[0]['role'] == 'system' %}\n        {{- '<|im_start|>system\\n' + messages[0]['content'] + '<|im_end|>\\n' }}\n    {%- else %}\n        {{- '<|im_start|>system\\nYou are a helpful assistant.<|im_end|>\\n' }}\n    {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n    {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) or (message.role == \"assistant\" and not message.tool_calls) %}\n        {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n    {%- elif message.role == \"assistant\" %}\n        {{- '<|im_start|>' + message.role }}\n        {%- if message.content %}\n            {{- '\\n' + message.content }}\n        {%- endif %}\n        {%- for tool_call in message.tool_calls %}\n            {%- if tool_call.function is defined %}\n                {%- set tool_call = tool_call.function %}\n            {%- endif %}\n            {{- '\\n<tool_call>\\n{\"name\": \"' }}\n            {{- tool_call.name }}\n            {{- '\", \"arguments\": ' }}\n            {{- tool_call.arguments | tojson }}\n            {{- '}\\n</tool_call>' }}\n        {%- endfor %}\n        {{- '<|im_end|>\\n' }}\n    {%- elif message.role == \"tool\" %}\n        {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != \"tool\") %}\n            {{- '<|im_start|>user' }}\n        {%- endif %}\n        {{- '\\n<tool_response>\\n' }}\n        {{- message.content }}\n        {{- '\\n</tool_response>' }}\n        {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n            {{- '<|im_end|>\\n' }}\n        {%- endif %}\n    {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n    {{- '<|im_start|>assistant\\n' }}\n{%- endif %}\n",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
+  "extra_special_tokens": {},
+  "model_max_length": 32768,
+  "pad_token": "<|vision_pad|>",
+  "padding_side": "right",
+  "processor_class": "Qwen2_5_VLProcessor",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}

RAFT-Qwen2.5VL-top1-min2cand-ckpts/checkpoint-300/trainer_state.json

@@ -0,0 +1,2134 @@
+{
+  "best_global_step": null,
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 0.3864734299516908,
+  "eval_steps": 500,
+  "global_step": 300,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.0012882447665056361,
+      "grad_norm": 5.262403964996338,
+      "learning_rate": 0.0,
+      "loss": 9.8258,
+      "step": 1
+    },
+    {
+      "epoch": 0.0025764895330112722,
+      "grad_norm": 5.366933822631836,
+      "learning_rate": 4e-05,
+      "loss": 9.8988,
+      "step": 2
+    },
+    {
+      "epoch": 0.003864734299516908,
+      "grad_norm": 5.458187103271484,
+      "learning_rate": 8e-05,
+      "loss": 9.7253,
+      "step": 3
+    },
+    {
+      "epoch": 0.0051529790660225444,
+      "grad_norm": 6.3110432624816895,
+      "learning_rate": 0.00012,
+      "loss": 9.3954,
+      "step": 4
+    },
+    {
+      "epoch": 0.00644122383252818,
+      "grad_norm": 6.78550386428833,
+      "learning_rate": 0.00016,
+      "loss": 7.8535,
+      "step": 5
+    },
+    {
+      "epoch": 0.007729468599033816,
+      "grad_norm": 6.161053657531738,
+      "learning_rate": 0.0002,
+      "loss": 5.7433,
+      "step": 6
+    },
+    {
+      "epoch": 0.009017713365539453,
+      "grad_norm": 2.953165292739868,
+      "learning_rate": 0.00019974059662775616,
+      "loss": 4.0112,
+      "step": 7
+    },
+    {
+      "epoch": 0.010305958132045089,
+      "grad_norm": 2.951970338821411,
+      "learning_rate": 0.00019948119325551234,
+      "loss": 3.5249,
+      "step": 8
+    },
+    {
+      "epoch": 0.011594202898550725,
+      "grad_norm": 3.1278786659240723,
+      "learning_rate": 0.0001992217898832685,
+      "loss": 2.8601,
+      "step": 9
+    },
+    {
+      "epoch": 0.01288244766505636,
+      "grad_norm": 3.560781955718994,
+      "learning_rate": 0.00019896238651102467,
+      "loss": 2.5292,
+      "step": 10
+    },
+    {
+      "epoch": 0.014170692431561997,
+      "grad_norm": 3.736281394958496,
+      "learning_rate": 0.00019870298313878082,
+      "loss": 2.2548,
+      "step": 11
+    },
+    {
+      "epoch": 0.015458937198067632,
+      "grad_norm": 3.2093236446380615,
+      "learning_rate": 0.00019844357976653697,
+      "loss": 1.6844,
+      "step": 12
+    },
+    {
+      "epoch": 0.01674718196457327,
+      "grad_norm": 1.6000800132751465,
+      "learning_rate": 0.00019818417639429315,
+      "loss": 1.6678,
+      "step": 13
+    },
+    {
+      "epoch": 0.018035426731078906,
+      "grad_norm": 1.1950865983963013,
+      "learning_rate": 0.0001979247730220493,
+      "loss": 1.545,
+      "step": 14
+    },
+    {
+      "epoch": 0.01932367149758454,
+      "grad_norm": 1.057097315788269,
+      "learning_rate": 0.00019766536964980547,
+      "loss": 1.3783,
+      "step": 15
+    },
+    {
+      "epoch": 0.020611916264090178,
+      "grad_norm": 3.6531178951263428,
+      "learning_rate": 0.00019740596627756162,
+      "loss": 1.3391,
+      "step": 16
+    },
+    {
+      "epoch": 0.021900161030595812,
+      "grad_norm": 1.3927085399627686,
+      "learning_rate": 0.00019714656290531778,
+      "loss": 1.2096,
+      "step": 17
+    },
+    {
+      "epoch": 0.02318840579710145,
+      "grad_norm": 1.0091526508331299,
+      "learning_rate": 0.00019688715953307395,
+      "loss": 1.0893,
+      "step": 18
+    },
+    {
+      "epoch": 0.024476650563607084,
+      "grad_norm": 0.582187831401825,
+      "learning_rate": 0.00019662775616083008,
+      "loss": 0.9122,
+      "step": 19
+    },
+    {
+      "epoch": 0.02576489533011272,
+      "grad_norm": 0.45811596512794495,
+      "learning_rate": 0.00019636835278858625,
+      "loss": 0.8972,
+      "step": 20
+    },
+    {
+      "epoch": 0.02705314009661836,
+      "grad_norm": 0.5596348643302917,
+      "learning_rate": 0.0001961089494163424,
+      "loss": 0.959,
+      "step": 21
+    },
+    {
+      "epoch": 0.028341384863123993,
+      "grad_norm": 0.5089276432991028,
+      "learning_rate": 0.00019584954604409858,
+      "loss": 0.6338,
+      "step": 22
+    },
+    {
+      "epoch": 0.02962962962962963,
+      "grad_norm": 0.6439465880393982,
+      "learning_rate": 0.00019559014267185473,
+      "loss": 0.7911,
+      "step": 23
+    },
+    {
+      "epoch": 0.030917874396135265,
+      "grad_norm": 0.6328151226043701,
+      "learning_rate": 0.0001953307392996109,
+      "loss": 0.9987,
+      "step": 24
+    },
+    {
+      "epoch": 0.0322061191626409,
+      "grad_norm": 0.5730019211769104,
+      "learning_rate": 0.00019507133592736706,
+      "loss": 0.8724,
+      "step": 25
+    },
+    {
+      "epoch": 0.03349436392914654,
+      "grad_norm": 0.4807477593421936,
+      "learning_rate": 0.0001948119325551232,
+      "loss": 0.8967,
+      "step": 26
+    },
+    {
+      "epoch": 0.034782608695652174,
+      "grad_norm": 0.5236231684684753,
+      "learning_rate": 0.0001945525291828794,
+      "loss": 0.8508,
+      "step": 27
+    },
+    {
+      "epoch": 0.03607085346215781,
+      "grad_norm": 0.4115971326828003,
+      "learning_rate": 0.00019429312581063554,
+      "loss": 0.678,
+      "step": 28
+    },
+    {
+      "epoch": 0.03735909822866344,
+      "grad_norm": 0.41102030873298645,
+      "learning_rate": 0.00019403372243839172,
+      "loss": 0.8701,
+      "step": 29
+    },
+    {
+      "epoch": 0.03864734299516908,
+      "grad_norm": 0.5096181631088257,
+      "learning_rate": 0.00019377431906614787,
+      "loss": 0.8319,
+      "step": 30
+    },
+    {
+      "epoch": 0.03993558776167472,
+      "grad_norm": 0.35217568278312683,
+      "learning_rate": 0.00019351491569390402,
+      "loss": 0.8071,
+      "step": 31
+    },
+    {
+      "epoch": 0.041223832528180356,
+      "grad_norm": 0.39972659945487976,
+      "learning_rate": 0.0001932555123216602,
+      "loss": 0.7544,
+      "step": 32
+    },
+    {
+      "epoch": 0.04251207729468599,
+      "grad_norm": 0.36103618144989014,
+      "learning_rate": 0.00019299610894941635,
+      "loss": 0.689,
+      "step": 33
+    },
+    {
+      "epoch": 0.043800322061191624,
+      "grad_norm": 0.38165056705474854,
+      "learning_rate": 0.00019273670557717253,
+      "loss": 0.8285,
+      "step": 34
+    },
+    {
+      "epoch": 0.04508856682769726,
+      "grad_norm": 0.32468029856681824,
+      "learning_rate": 0.00019247730220492868,
+      "loss": 0.9139,
+      "step": 35
+    },
+    {
+      "epoch": 0.0463768115942029,
+      "grad_norm": 0.40932831168174744,
+      "learning_rate": 0.00019221789883268483,
+      "loss": 0.9248,
+      "step": 36
+    },
+    {
+      "epoch": 0.04766505636070854,
+      "grad_norm": 0.35141539573669434,
+      "learning_rate": 0.000191958495460441,
+      "loss": 0.8364,
+      "step": 37
+    },
+    {
+      "epoch": 0.04895330112721417,
+      "grad_norm": 0.40496382117271423,
+      "learning_rate": 0.00019169909208819716,
+      "loss": 0.6268,
+      "step": 38
+    },
+    {
+      "epoch": 0.050241545893719805,
+      "grad_norm": 0.3912662863731384,
+      "learning_rate": 0.00019143968871595333,
+      "loss": 0.7688,
+      "step": 39
+    },
+    {
+      "epoch": 0.05152979066022544,
+      "grad_norm": 0.411436527967453,
+      "learning_rate": 0.00019118028534370949,
+      "loss": 0.9441,
+      "step": 40
+    },
+    {
+      "epoch": 0.05281803542673108,
+      "grad_norm": 0.39597514271736145,
+      "learning_rate": 0.00019092088197146564,
+      "loss": 0.9375,
+      "step": 41
+    },
+    {
+      "epoch": 0.05410628019323672,
+      "grad_norm": 0.37057411670684814,
+      "learning_rate": 0.00019066147859922181,
+      "loss": 0.843,
+      "step": 42
+    },
+    {
+      "epoch": 0.05539452495974235,
+      "grad_norm": 0.3797967731952667,
+      "learning_rate": 0.00019040207522697794,
+      "loss": 0.8405,
+      "step": 43
+    },
+    {
+      "epoch": 0.056682769726247986,
+      "grad_norm": 0.39558812975883484,
+      "learning_rate": 0.00019014267185473412,
+      "loss": 0.7924,
+      "step": 44
+    },
+    {
+      "epoch": 0.057971014492753624,
+      "grad_norm": 0.3703974485397339,
+      "learning_rate": 0.00018988326848249027,
+      "loss": 0.8211,
+      "step": 45
+    },
+    {
+      "epoch": 0.05925925925925926,
+      "grad_norm": 0.4131820499897003,
+      "learning_rate": 0.00018962386511024644,
+      "loss": 0.8184,
+      "step": 46
+    },
+    {
+      "epoch": 0.06054750402576489,
+      "grad_norm": 0.31977829337120056,
+      "learning_rate": 0.0001893644617380026,
+      "loss": 0.726,
+      "step": 47
+    },
+    {
+      "epoch": 0.06183574879227053,
+      "grad_norm": 0.3597254455089569,
+      "learning_rate": 0.00018910505836575875,
+      "loss": 0.7899,
+      "step": 48
+    },
+    {
+      "epoch": 0.06312399355877617,
+      "grad_norm": 0.3365727365016937,
+      "learning_rate": 0.00018884565499351492,
+      "loss": 0.8046,
+      "step": 49
+    },
+    {
+      "epoch": 0.0644122383252818,
+      "grad_norm": 0.3720993399620056,
+      "learning_rate": 0.00018858625162127107,
+      "loss": 0.7154,
+      "step": 50
+    },
+    {
+      "epoch": 0.06570048309178744,
+      "grad_norm": 0.49059492349624634,
+      "learning_rate": 0.00018832684824902725,
+      "loss": 1.0179,
+      "step": 51
+    },
+    {
+      "epoch": 0.06698872785829307,
+      "grad_norm": 0.349679559469223,
+      "learning_rate": 0.0001880674448767834,
+      "loss": 0.821,
+      "step": 52
+    },
+    {
+      "epoch": 0.06827697262479872,
+      "grad_norm": 0.3414258062839508,
+      "learning_rate": 0.00018780804150453958,
+      "loss": 0.8551,
+      "step": 53
+    },
+    {
+      "epoch": 0.06956521739130435,
+      "grad_norm": 0.3640010356903076,
+      "learning_rate": 0.00018754863813229573,
+      "loss": 0.8017,
+      "step": 54
+    },
+    {
+      "epoch": 0.07085346215780998,
+      "grad_norm": 0.4253976047039032,
+      "learning_rate": 0.00018728923476005188,
+      "loss": 0.9128,
+      "step": 55
+    },
+    {
+      "epoch": 0.07214170692431562,
+      "grad_norm": 0.35879331827163696,
+      "learning_rate": 0.00018702983138780806,
+      "loss": 0.6451,
+      "step": 56
+    },
+    {
+      "epoch": 0.07342995169082125,
+      "grad_norm": 0.3185586929321289,
+      "learning_rate": 0.0001867704280155642,
+      "loss": 0.5574,
+      "step": 57
+    },
+    {
+      "epoch": 0.07471819645732689,
+      "grad_norm": 0.37594854831695557,
+      "learning_rate": 0.0001865110246433204,
+      "loss": 0.6801,
+      "step": 58
+    },
+    {
+      "epoch": 0.07600644122383253,
+      "grad_norm": 0.4002726972103119,
+      "learning_rate": 0.00018625162127107654,
+      "loss": 0.7327,
+      "step": 59
+    },
+    {
+      "epoch": 0.07729468599033816,
+      "grad_norm": 0.33300065994262695,
+      "learning_rate": 0.0001859922178988327,
+      "loss": 0.7138,
+      "step": 60
+    },
+    {
+      "epoch": 0.0785829307568438,
+      "grad_norm": 0.3906570374965668,
+      "learning_rate": 0.00018573281452658887,
+      "loss": 0.7337,
+      "step": 61
+    },
+    {
+      "epoch": 0.07987117552334944,
+      "grad_norm": 0.3438870906829834,
+      "learning_rate": 0.00018547341115434502,
+      "loss": 0.698,
+      "step": 62
+    },
+    {
+      "epoch": 0.08115942028985507,
+      "grad_norm": 0.3743039667606354,
+      "learning_rate": 0.0001852140077821012,
+      "loss": 0.8378,
+      "step": 63
+    },
+    {
+      "epoch": 0.08244766505636071,
+      "grad_norm": 0.3259747624397278,
+      "learning_rate": 0.00018495460440985735,
+      "loss": 0.6315,
+      "step": 64
+    },
+    {
+      "epoch": 0.08373590982286634,
+      "grad_norm": 0.3895297050476074,
+      "learning_rate": 0.0001846952010376135,
+      "loss": 0.7263,
+      "step": 65
+    },
+    {
+      "epoch": 0.08502415458937199,
+      "grad_norm": 0.3410950005054474,
+      "learning_rate": 0.00018443579766536967,
+      "loss": 0.7499,
+      "step": 66
+    },
+    {
+      "epoch": 0.08631239935587762,
+      "grad_norm": 0.42679062485694885,
+      "learning_rate": 0.0001841763942931258,
+      "loss": 0.637,
+      "step": 67
+    },
+    {
+      "epoch": 0.08760064412238325,
+      "grad_norm": 0.33153036236763,
+      "learning_rate": 0.00018391699092088198,
+      "loss": 0.7374,
+      "step": 68
+    },
+    {
+      "epoch": 0.08888888888888889,
+      "grad_norm": 0.4067535698413849,
+      "learning_rate": 0.00018365758754863813,
+      "loss": 0.8188,
+      "step": 69
+    },
+    {
+      "epoch": 0.09017713365539452,
+      "grad_norm": 0.43531498312950134,
+      "learning_rate": 0.0001833981841763943,
+      "loss": 0.7233,
+      "step": 70
+    },
+    {
+      "epoch": 0.09146537842190017,
+      "grad_norm": 0.34313544631004333,
+      "learning_rate": 0.00018313878080415046,
+      "loss": 0.7082,
+      "step": 71
+    },
+    {
+      "epoch": 0.0927536231884058,
+      "grad_norm": 0.4499073922634125,
+      "learning_rate": 0.0001828793774319066,
+      "loss": 0.7944,
+      "step": 72
+    },
+    {
+      "epoch": 0.09404186795491143,
+      "grad_norm": 0.3997962474822998,
+      "learning_rate": 0.00018261997405966278,
+      "loss": 0.7768,
+      "step": 73
+    },
+    {
+      "epoch": 0.09533011272141707,
+      "grad_norm": 0.3584403991699219,
+      "learning_rate": 0.00018236057068741893,
+      "loss": 0.6918,
+      "step": 74
+    },
+    {
+      "epoch": 0.0966183574879227,
+      "grad_norm": 0.386200487613678,
+      "learning_rate": 0.0001821011673151751,
+      "loss": 0.8057,
+      "step": 75
+    },
+    {
+      "epoch": 0.09790660225442833,
+      "grad_norm": 0.4260252118110657,
+      "learning_rate": 0.00018184176394293126,
+      "loss": 0.9566,
+      "step": 76
+    },
+    {
+      "epoch": 0.09919484702093398,
+      "grad_norm": 0.365682452917099,
+      "learning_rate": 0.0001815823605706874,
+      "loss": 0.6916,
+      "step": 77
+    },
+    {
+      "epoch": 0.10048309178743961,
+      "grad_norm": 0.4001545011997223,
+      "learning_rate": 0.0001813229571984436,
+      "loss": 0.744,
+      "step": 78
+    },
+    {
+      "epoch": 0.10177133655394525,
+      "grad_norm": 0.3634803295135498,
+      "learning_rate": 0.00018106355382619974,
+      "loss": 0.8526,
+      "step": 79
+    },
+    {
+      "epoch": 0.10305958132045089,
+      "grad_norm": 0.3756248950958252,
+      "learning_rate": 0.00018080415045395592,
+      "loss": 0.7736,
+      "step": 80
+    },
+    {
+      "epoch": 0.10434782608695652,
+      "grad_norm": 0.3772340416908264,
+      "learning_rate": 0.00018054474708171207,
+      "loss": 0.8625,
+      "step": 81
+    },
+    {
+      "epoch": 0.10563607085346216,
+      "grad_norm": 0.3710072636604309,
+      "learning_rate": 0.00018028534370946825,
+      "loss": 0.6527,
+      "step": 82
+    },
+    {
+      "epoch": 0.10692431561996779,
+      "grad_norm": 0.39302870631217957,
+      "learning_rate": 0.0001800259403372244,
+      "loss": 0.776,
+      "step": 83
+    },
+    {
+      "epoch": 0.10821256038647344,
+      "grad_norm": 0.4005106985569,
+      "learning_rate": 0.00017976653696498055,
+      "loss": 0.7742,
+      "step": 84
+    },
+    {
+      "epoch": 0.10950080515297907,
+      "grad_norm": 0.3943251669406891,
+      "learning_rate": 0.00017950713359273673,
+      "loss": 0.7904,
+      "step": 85
+    },
+    {
+      "epoch": 0.1107890499194847,
+      "grad_norm": 0.4574766755104065,
+      "learning_rate": 0.00017924773022049288,
+      "loss": 0.7703,
+      "step": 86
+    },
+    {
+      "epoch": 0.11207729468599034,
+      "grad_norm": 0.41561025381088257,
+      "learning_rate": 0.00017898832684824906,
+      "loss": 0.814,
+      "step": 87
+    },
+    {
+      "epoch": 0.11336553945249597,
+      "grad_norm": 0.3998861312866211,
+      "learning_rate": 0.0001787289234760052,
+      "loss": 0.7781,
+      "step": 88
+    },
+    {
+      "epoch": 0.11465378421900162,
+      "grad_norm": 0.3865020275115967,
+      "learning_rate": 0.00017846952010376136,
+      "loss": 0.5702,
+      "step": 89
+    },
+    {
+      "epoch": 0.11594202898550725,
+      "grad_norm": 0.42256155610084534,
+      "learning_rate": 0.00017821011673151754,
+      "loss": 0.8718,
+      "step": 90
+    },
+    {
+      "epoch": 0.11723027375201288,
+      "grad_norm": 0.4352784752845764,
+      "learning_rate": 0.00017795071335927366,
+      "loss": 0.5581,
+      "step": 91
+    },
+    {
+      "epoch": 0.11851851851851852,
+      "grad_norm": 0.4169948995113373,
+      "learning_rate": 0.00017769130998702984,
+      "loss": 0.8848,
+      "step": 92
+    },
+    {
+      "epoch": 0.11980676328502415,
+      "grad_norm": 0.427137166261673,
+      "learning_rate": 0.000177431906614786,
+      "loss": 0.7896,
+      "step": 93
+    },
+    {
+      "epoch": 0.12109500805152978,
+      "grad_norm": 0.40028682351112366,
+      "learning_rate": 0.00017717250324254217,
+      "loss": 0.6213,
+      "step": 94
+    },
+    {
+      "epoch": 0.12238325281803543,
+      "grad_norm": 0.4058162569999695,
+      "learning_rate": 0.00017691309987029832,
+      "loss": 0.7196,
+      "step": 95
+    },
+    {
+      "epoch": 0.12367149758454106,
+      "grad_norm": 0.36246687173843384,
+      "learning_rate": 0.00017665369649805447,
+      "loss": 0.6107,
+      "step": 96
+    },
+    {
+      "epoch": 0.1249597423510467,
+      "grad_norm": 0.43806013464927673,
+      "learning_rate": 0.00017639429312581064,
+      "loss": 0.6867,
+      "step": 97
+    },
+    {
+      "epoch": 0.12624798711755233,
+      "grad_norm": 0.4309624135494232,
+      "learning_rate": 0.0001761348897535668,
+      "loss": 0.9121,
+      "step": 98
+    },
+    {
+      "epoch": 0.12753623188405797,
+      "grad_norm": 0.44031617045402527,
+      "learning_rate": 0.00017587548638132297,
+      "loss": 0.9044,
+      "step": 99
+    },
+    {
+      "epoch": 0.1288244766505636,
+      "grad_norm": 0.4357609450817108,
+      "learning_rate": 0.00017561608300907912,
+      "loss": 0.6607,
+      "step": 100
+    },
+    {
+      "epoch": 0.13011272141706925,
+      "grad_norm": 0.4433279037475586,
+      "learning_rate": 0.00017535667963683527,
+      "loss": 0.6842,
+      "step": 101
+    },
+    {
+      "epoch": 0.13140096618357489,
+      "grad_norm": 0.5885293483734131,
+      "learning_rate": 0.00017509727626459145,
+      "loss": 0.9635,
+      "step": 102
+    },
+    {
+      "epoch": 0.13268921095008052,
+      "grad_norm": 0.44983139634132385,
+      "learning_rate": 0.0001748378728923476,
+      "loss": 0.765,
+      "step": 103
+    },
+    {
+      "epoch": 0.13397745571658615,
+      "grad_norm": 0.40941494703292847,
+      "learning_rate": 0.00017457846952010378,
+      "loss": 0.6072,
+      "step": 104
+    },
+    {
+      "epoch": 0.13526570048309178,
+      "grad_norm": 0.3955368995666504,
+      "learning_rate": 0.00017431906614785993,
+      "loss": 0.6426,
+      "step": 105
+    },
+    {
+      "epoch": 0.13655394524959744,
+      "grad_norm": 0.4010334014892578,
+      "learning_rate": 0.00017405966277561608,
+      "loss": 0.6746,
+      "step": 106
+    },
+    {
+      "epoch": 0.13784219001610307,
+      "grad_norm": 0.4469926357269287,
+      "learning_rate": 0.00017380025940337226,
+      "loss": 0.6095,
+      "step": 107
+    },
+    {
+      "epoch": 0.1391304347826087,
+      "grad_norm": 0.3916209042072296,
+      "learning_rate": 0.0001735408560311284,
+      "loss": 0.6978,
+      "step": 108
+    },
+    {
+      "epoch": 0.14041867954911433,
+      "grad_norm": 0.42181602120399475,
+      "learning_rate": 0.0001732814526588846,
+      "loss": 0.6811,
+      "step": 109
+    },
+    {
+      "epoch": 0.14170692431561996,
+      "grad_norm": 0.4556797742843628,
+      "learning_rate": 0.00017302204928664074,
+      "loss": 0.7066,
+      "step": 110
+    },
+    {
+      "epoch": 0.14299516908212562,
+      "grad_norm": 0.368115097284317,
+      "learning_rate": 0.00017276264591439692,
+      "loss": 0.7384,
+      "step": 111
+    },
+    {
+      "epoch": 0.14428341384863125,
+      "grad_norm": 0.38313692808151245,
+      "learning_rate": 0.00017250324254215307,
+      "loss": 0.6031,
+      "step": 112
+    },
+    {
+      "epoch": 0.14557165861513688,
+      "grad_norm": 0.5143454074859619,
+      "learning_rate": 0.00017224383916990922,
+      "loss": 0.9807,
+      "step": 113
+    },
+    {
+      "epoch": 0.1468599033816425,
+      "grad_norm": 0.5188304781913757,
+      "learning_rate": 0.0001719844357976654,
+      "loss": 0.8019,
+      "step": 114
+    },
+    {
+      "epoch": 0.14814814814814814,
+      "grad_norm": 0.48551270365715027,
+      "learning_rate": 0.00017172503242542152,
+      "loss": 0.8496,
+      "step": 115
+    },
+    {
+      "epoch": 0.14943639291465377,
+      "grad_norm": 0.3970145881175995,
+      "learning_rate": 0.0001714656290531777,
+      "loss": 0.7355,
+      "step": 116
+    },
+    {
+      "epoch": 0.15072463768115943,
+      "grad_norm": 0.49950772523880005,
+      "learning_rate": 0.00017120622568093385,
+      "loss": 0.8152,
+      "step": 117
+    },
+    {
+      "epoch": 0.15201288244766506,
+      "grad_norm": 0.41540655493736267,
+      "learning_rate": 0.00017094682230869003,
+      "loss": 0.6123,
+      "step": 118
+    },
+    {
+      "epoch": 0.1533011272141707,
+      "grad_norm": 0.4993124008178711,
+      "learning_rate": 0.00017068741893644618,
+      "loss": 0.7619,
+      "step": 119
+    },
+    {
+      "epoch": 0.15458937198067632,
+      "grad_norm": 0.5129902958869934,
+      "learning_rate": 0.00017042801556420233,
+      "loss": 0.7308,
+      "step": 120
+    },
+    {
+      "epoch": 0.15587761674718195,
+      "grad_norm": 0.43627041578292847,
+      "learning_rate": 0.0001701686121919585,
+      "loss": 0.727,
+      "step": 121
+    },
+    {
+      "epoch": 0.1571658615136876,
+      "grad_norm": 0.43325018882751465,
+      "learning_rate": 0.00016990920881971466,
+      "loss": 0.697,
+      "step": 122
+    },
+    {
+      "epoch": 0.15845410628019324,
+      "grad_norm": 0.4153127074241638,
+      "learning_rate": 0.00016964980544747083,
+      "loss": 0.9565,
+      "step": 123
+    },
+    {
+      "epoch": 0.15974235104669887,
+      "grad_norm": 0.4094031751155853,
+      "learning_rate": 0.00016939040207522698,
+      "loss": 0.6999,
+      "step": 124
+    },
+    {
+      "epoch": 0.1610305958132045,
+      "grad_norm": 0.42978209257125854,
+      "learning_rate": 0.00016913099870298313,
+      "loss": 0.7255,
+      "step": 125
+    },
+    {
+      "epoch": 0.16231884057971013,
+      "grad_norm": 0.47310638427734375,
+      "learning_rate": 0.0001688715953307393,
+      "loss": 0.8283,
+      "step": 126
+    },
+    {
+      "epoch": 0.1636070853462158,
+      "grad_norm": 0.532943606376648,
+      "learning_rate": 0.00016861219195849546,
+      "loss": 0.9168,
+      "step": 127
+    },
+    {
+      "epoch": 0.16489533011272142,
+      "grad_norm": 0.4403317868709564,
+      "learning_rate": 0.00016835278858625164,
+      "loss": 0.5668,
+      "step": 128
+    },
+    {
+      "epoch": 0.16618357487922705,
+      "grad_norm": 0.4338042140007019,
+      "learning_rate": 0.0001680933852140078,
+      "loss": 0.7227,
+      "step": 129
+    },
+    {
+      "epoch": 0.16747181964573268,
+      "grad_norm": 0.4417431950569153,
+      "learning_rate": 0.00016783398184176394,
+      "loss": 0.6057,
+      "step": 130
+    },
+    {
+      "epoch": 0.16876006441223831,
+      "grad_norm": 0.43708720803260803,
+      "learning_rate": 0.00016757457846952012,
+      "loss": 0.562,
+      "step": 131
+    },
+    {
+      "epoch": 0.17004830917874397,
+      "grad_norm": 0.45559972524642944,
+      "learning_rate": 0.00016731517509727627,
+      "loss": 0.8534,
+      "step": 132
+    },
+    {
+      "epoch": 0.1713365539452496,
+      "grad_norm": 0.5106703042984009,
+      "learning_rate": 0.00016705577172503245,
+      "loss": 0.8484,
+      "step": 133
+    },
+    {
+      "epoch": 0.17262479871175523,
+      "grad_norm": 0.428514689207077,
+      "learning_rate": 0.0001667963683527886,
+      "loss": 0.559,
+      "step": 134
+    },
+    {
+      "epoch": 0.17391304347826086,
+      "grad_norm": 0.4175085127353668,
+      "learning_rate": 0.00016653696498054475,
+      "loss": 0.7303,
+      "step": 135
+    },
+    {
+      "epoch": 0.1752012882447665,
+      "grad_norm": 0.45730292797088623,
+      "learning_rate": 0.00016627756160830093,
+      "loss": 0.8048,
+      "step": 136
+    },
+    {
+      "epoch": 0.17648953301127215,
+      "grad_norm": 0.4505404531955719,
+      "learning_rate": 0.00016601815823605708,
+      "loss": 0.8778,
+      "step": 137
+    },
+    {
+      "epoch": 0.17777777777777778,
+      "grad_norm": 0.4573550820350647,
+      "learning_rate": 0.00016575875486381326,
+      "loss": 0.7173,
+      "step": 138
+    },
+    {
+      "epoch": 0.17906602254428342,
+      "grad_norm": 0.4772025942802429,
+      "learning_rate": 0.00016549935149156938,
+      "loss": 0.6865,
+      "step": 139
+    },
+    {
+      "epoch": 0.18035426731078905,
+      "grad_norm": 0.4087829887866974,
+      "learning_rate": 0.00016523994811932556,
+      "loss": 0.6165,
+      "step": 140
+    },
+    {
+      "epoch": 0.18164251207729468,
+      "grad_norm": 0.4026786983013153,
+      "learning_rate": 0.0001649805447470817,
+      "loss": 0.6544,
+      "step": 141
+    },
+    {
+      "epoch": 0.18293075684380034,
+      "grad_norm": 0.46238380670547485,
+      "learning_rate": 0.00016472114137483789,
+      "loss": 0.7149,
+      "step": 142
+    },
+    {
+      "epoch": 0.18421900161030597,
+      "grad_norm": 0.4716030955314636,
+      "learning_rate": 0.00016446173800259404,
+      "loss": 0.7878,
+      "step": 143
+    },
+    {
+      "epoch": 0.1855072463768116,
+      "grad_norm": 0.42293375730514526,
+      "learning_rate": 0.0001642023346303502,
+      "loss": 0.5902,
+      "step": 144
+    },
+    {
+      "epoch": 0.18679549114331723,
+      "grad_norm": 0.41398197412490845,
+      "learning_rate": 0.00016394293125810637,
+      "loss": 0.7664,
+      "step": 145
+    },
+    {
+      "epoch": 0.18808373590982286,
+      "grad_norm": 0.4364947974681854,
+      "learning_rate": 0.00016368352788586252,
+      "loss": 0.7569,
+      "step": 146
+    },
+    {
+      "epoch": 0.18937198067632852,
+      "grad_norm": 0.4222882091999054,
+      "learning_rate": 0.0001634241245136187,
+      "loss": 0.8327,
+      "step": 147
+    },
+    {
+      "epoch": 0.19066022544283415,
+      "grad_norm": 0.455157995223999,
+      "learning_rate": 0.00016316472114137484,
+      "loss": 0.9165,
+      "step": 148
+    },
+    {
+      "epoch": 0.19194847020933978,
+      "grad_norm": 0.43848827481269836,
+      "learning_rate": 0.000162905317769131,
+      "loss": 0.9128,
+      "step": 149
+    },
+    {
+      "epoch": 0.1932367149758454,
+      "grad_norm": 0.41705894470214844,
+      "learning_rate": 0.00016264591439688717,
+      "loss": 0.6617,
+      "step": 150
+    },
+    {
+      "epoch": 0.19452495974235104,
+      "grad_norm": 0.49762025475502014,
+      "learning_rate": 0.00016238651102464332,
+      "loss": 0.6801,
+      "step": 151
+    },
+    {
+      "epoch": 0.19581320450885667,
+      "grad_norm": 0.45662441849708557,
+      "learning_rate": 0.0001621271076523995,
+      "loss": 0.6993,
+      "step": 152
+    },
+    {
+      "epoch": 0.19710144927536233,
+      "grad_norm": 0.585777997970581,
+      "learning_rate": 0.00016186770428015565,
+      "loss": 0.8672,
+      "step": 153
+    },
+    {
+      "epoch": 0.19838969404186796,
+      "grad_norm": 0.4230654537677765,
+      "learning_rate": 0.0001616083009079118,
+      "loss": 0.838,
+      "step": 154
+    },
+    {
+      "epoch": 0.1996779388083736,
+      "grad_norm": 0.4406936764717102,
+      "learning_rate": 0.00016134889753566798,
+      "loss": 0.8018,
+      "step": 155
+    },
+    {
+      "epoch": 0.20096618357487922,
+      "grad_norm": 0.476319283246994,
+      "learning_rate": 0.00016108949416342413,
+      "loss": 0.8235,
+      "step": 156
+    },
+    {
+      "epoch": 0.20225442834138485,
+      "grad_norm": 0.42555317282676697,
+      "learning_rate": 0.0001608300907911803,
+      "loss": 0.711,
+      "step": 157
+    },
+    {
+      "epoch": 0.2035426731078905,
+      "grad_norm": 0.44062644243240356,
+      "learning_rate": 0.00016057068741893646,
+      "loss": 0.7533,
+      "step": 158
+    },
+    {
+      "epoch": 0.20483091787439614,
+      "grad_norm": 0.5058566927909851,
+      "learning_rate": 0.0001603112840466926,
+      "loss": 0.9281,
+      "step": 159
+    },
+    {
+      "epoch": 0.20611916264090177,
+      "grad_norm": 0.5150231122970581,
+      "learning_rate": 0.0001600518806744488,
+      "loss": 0.7769,
+      "step": 160
+    },
+    {
+      "epoch": 0.2074074074074074,
+      "grad_norm": 0.41492998600006104,
+      "learning_rate": 0.00015979247730220494,
+      "loss": 0.6875,
+      "step": 161
+    },
+    {
+      "epoch": 0.20869565217391303,
+      "grad_norm": 0.5054889917373657,
+      "learning_rate": 0.00015953307392996112,
+      "loss": 0.8007,
+      "step": 162
+    },
+    {
+      "epoch": 0.2099838969404187,
+      "grad_norm": 0.4543089270591736,
+      "learning_rate": 0.00015927367055771724,
+      "loss": 0.7487,
+      "step": 163
+    },
+    {
+      "epoch": 0.21127214170692432,
+      "grad_norm": 0.4532124400138855,
+      "learning_rate": 0.00015901426718547342,
+      "loss": 0.8014,
+      "step": 164
+    },
+    {
+      "epoch": 0.21256038647342995,
+      "grad_norm": 0.4352071285247803,
+      "learning_rate": 0.00015875486381322957,
+      "loss": 0.6654,
+      "step": 165
+    },
+    {
+      "epoch": 0.21384863123993558,
+      "grad_norm": 0.47212234139442444,
+      "learning_rate": 0.00015849546044098572,
+      "loss": 0.7287,
+      "step": 166
+    },
+    {
+      "epoch": 0.2151368760064412,
+      "grad_norm": 0.46166136860847473,
+      "learning_rate": 0.0001582360570687419,
+      "loss": 0.6967,
+      "step": 167
+    },
+    {
+      "epoch": 0.21642512077294687,
+      "grad_norm": 0.42468127608299255,
+      "learning_rate": 0.00015797665369649805,
+      "loss": 0.7511,
+      "step": 168
+    },
+    {
+      "epoch": 0.2177133655394525,
+      "grad_norm": 0.4317660927772522,
+      "learning_rate": 0.00015771725032425423,
+      "loss": 0.6838,
+      "step": 169
+    },
+    {
+      "epoch": 0.21900161030595813,
+      "grad_norm": 0.43196195363998413,
+      "learning_rate": 0.00015745784695201038,
+      "loss": 0.767,
+      "step": 170
+    },
+    {
+      "epoch": 0.22028985507246376,
+      "grad_norm": 0.5359659194946289,
+      "learning_rate": 0.00015719844357976655,
+      "loss": 0.8762,
+      "step": 171
+    },
+    {
+      "epoch": 0.2215780998389694,
+      "grad_norm": 0.4905572831630707,
+      "learning_rate": 0.0001569390402075227,
+      "loss": 0.6403,
+      "step": 172
+    },
+    {
+      "epoch": 0.22286634460547505,
+      "grad_norm": 0.5167751312255859,
+      "learning_rate": 0.00015667963683527886,
+      "loss": 0.6567,
+      "step": 173
+    },
+    {
+      "epoch": 0.22415458937198068,
+      "grad_norm": 0.5228043794631958,
+      "learning_rate": 0.00015642023346303503,
+      "loss": 0.9136,
+      "step": 174
+    },
+    {
+      "epoch": 0.22544283413848631,
+      "grad_norm": 0.5335633158683777,
+      "learning_rate": 0.00015616083009079118,
+      "loss": 0.8523,
+      "step": 175
+    },
+    {
+      "epoch": 0.22673107890499195,
+      "grad_norm": 0.5162991881370544,
+      "learning_rate": 0.00015590142671854736,
+      "loss": 0.8421,
+      "step": 176
+    },
+    {
+      "epoch": 0.22801932367149758,
+      "grad_norm": 0.44485965371131897,
+      "learning_rate": 0.0001556420233463035,
+      "loss": 0.676,
+      "step": 177
+    },
+    {
+      "epoch": 0.22930756843800323,
+      "grad_norm": 0.5380906462669373,
+      "learning_rate": 0.00015538261997405966,
+      "loss": 0.7508,
+      "step": 178
+    },
+    {
+      "epoch": 0.23059581320450886,
+      "grad_norm": 0.43846485018730164,
+      "learning_rate": 0.00015512321660181584,
+      "loss": 0.7796,
+      "step": 179
+    },
+    {
+      "epoch": 0.2318840579710145,
+      "grad_norm": 0.4705115854740143,
+      "learning_rate": 0.000154863813229572,
+      "loss": 0.7306,
+      "step": 180
+    },
+    {
+      "epoch": 0.23317230273752013,
+      "grad_norm": 0.48170074820518494,
+      "learning_rate": 0.00015460440985732817,
+      "loss": 0.6595,
+      "step": 181
+    },
+    {
+      "epoch": 0.23446054750402576,
+      "grad_norm": 0.4495287835597992,
+      "learning_rate": 0.00015434500648508432,
+      "loss": 0.515,
+      "step": 182
+    },
+    {
+      "epoch": 0.2357487922705314,
+      "grad_norm": 0.4604053795337677,
+      "learning_rate": 0.00015408560311284047,
+      "loss": 0.6785,
+      "step": 183
+    },
+    {
+      "epoch": 0.23703703703703705,
+      "grad_norm": 0.48287808895111084,
+      "learning_rate": 0.00015382619974059665,
+      "loss": 0.8188,
+      "step": 184
+    },
+    {
+      "epoch": 0.23832528180354268,
+      "grad_norm": 0.47007080912590027,
+      "learning_rate": 0.0001535667963683528,
+      "loss": 0.8976,
+      "step": 185
+    },
+    {
+      "epoch": 0.2396135265700483,
+      "grad_norm": 0.4318341016769409,
+      "learning_rate": 0.00015330739299610898,
+      "loss": 0.9089,
+      "step": 186
+    },
+    {
+      "epoch": 0.24090177133655394,
+      "grad_norm": 0.5025903582572937,
+      "learning_rate": 0.0001530479896238651,
+      "loss": 0.7002,
+      "step": 187
+    },
+    {
+      "epoch": 0.24219001610305957,
+      "grad_norm": 0.4505878686904907,
+      "learning_rate": 0.00015278858625162128,
+      "loss": 0.8059,
+      "step": 188
+    },
+    {
+      "epoch": 0.24347826086956523,
+      "grad_norm": 0.4678569734096527,
+      "learning_rate": 0.00015252918287937743,
+      "loss": 0.7557,
+      "step": 189
+    },
+    {
+      "epoch": 0.24476650563607086,
+      "grad_norm": 0.4309605062007904,
+      "learning_rate": 0.00015226977950713358,
+      "loss": 0.6853,
+      "step": 190
+    },
+    {
+      "epoch": 0.2460547504025765,
+      "grad_norm": 0.4838751554489136,
+      "learning_rate": 0.00015201037613488976,
+      "loss": 0.7379,
+      "step": 191
+    },
+    {
+      "epoch": 0.24734299516908212,
+      "grad_norm": 0.6171398758888245,
+      "learning_rate": 0.0001517509727626459,
+      "loss": 0.7064,
+      "step": 192
+    },
+    {
+      "epoch": 0.24863123993558775,
+      "grad_norm": 0.40880852937698364,
+      "learning_rate": 0.0001514915693904021,
+      "loss": 0.814,
+      "step": 193
+    },
+    {
+      "epoch": 0.2499194847020934,
+      "grad_norm": 0.44109100103378296,
+      "learning_rate": 0.00015123216601815824,
+      "loss": 0.5855,
+      "step": 194
+    },
+    {
+      "epoch": 0.25120772946859904,
+      "grad_norm": 0.4758540689945221,
+      "learning_rate": 0.0001509727626459144,
+      "loss": 0.6589,
+      "step": 195
+    },
+    {
+      "epoch": 0.25249597423510467,
+      "grad_norm": 0.43624359369277954,
+      "learning_rate": 0.00015071335927367057,
+      "loss": 0.6064,
+      "step": 196
+    },
+    {
+      "epoch": 0.2537842190016103,
+      "grad_norm": 0.5243918895721436,
+      "learning_rate": 0.00015045395590142672,
+      "loss": 0.7465,
+      "step": 197
+    },
+    {
+      "epoch": 0.25507246376811593,
+      "grad_norm": 0.45572882890701294,
+      "learning_rate": 0.0001501945525291829,
+      "loss": 0.7878,
+      "step": 198
+    },
+    {
+      "epoch": 0.25636070853462156,
+      "grad_norm": 0.4809209704399109,
+      "learning_rate": 0.00014993514915693904,
+      "loss": 0.6445,
+      "step": 199
+    },
+    {
+      "epoch": 0.2576489533011272,
+      "grad_norm": 0.5390660762786865,
+      "learning_rate": 0.00014967574578469522,
+      "loss": 0.7883,
+      "step": 200
+    },
+    {
+      "epoch": 0.2589371980676328,
+      "grad_norm": 0.44618934392929077,
+      "learning_rate": 0.00014941634241245137,
+      "loss": 0.6534,
+      "step": 201
+    },
+    {
+      "epoch": 0.2602254428341385,
+      "grad_norm": 0.5836482048034668,
+      "learning_rate": 0.00014915693904020752,
+      "loss": 0.8804,
+      "step": 202
+    },
+    {
+      "epoch": 0.26151368760064414,
+      "grad_norm": 0.4671849310398102,
+      "learning_rate": 0.0001488975356679637,
+      "loss": 0.7272,
+      "step": 203
+    },
+    {
+      "epoch": 0.26280193236714977,
+      "grad_norm": 0.45486536622047424,
+      "learning_rate": 0.00014863813229571985,
+      "loss": 0.7062,
+      "step": 204
+    },
+    {
+      "epoch": 0.2640901771336554,
+      "grad_norm": 0.4769437909126282,
+      "learning_rate": 0.00014837872892347603,
+      "loss": 0.7093,
+      "step": 205
+    },
+    {
+      "epoch": 0.26537842190016103,
+      "grad_norm": 0.5395942330360413,
+      "learning_rate": 0.00014811932555123218,
+      "loss": 0.7969,
+      "step": 206
+    },
+    {
+      "epoch": 0.26666666666666666,
+      "grad_norm": 0.3942142724990845,
+      "learning_rate": 0.00014785992217898833,
+      "loss": 0.5992,
+      "step": 207
+    },
+    {
+      "epoch": 0.2679549114331723,
+      "grad_norm": 0.5043721795082092,
+      "learning_rate": 0.0001476005188067445,
+      "loss": 0.7347,
+      "step": 208
+    },
+    {
+      "epoch": 0.2692431561996779,
+      "grad_norm": 0.4458889067173004,
+      "learning_rate": 0.00014734111543450066,
+      "loss": 0.7395,
+      "step": 209
+    },
+    {
+      "epoch": 0.27053140096618356,
+      "grad_norm": 0.5377001762390137,
+      "learning_rate": 0.00014708171206225684,
+      "loss": 0.6688,
+      "step": 210
+    },
+    {
+      "epoch": 0.2718196457326892,
+      "grad_norm": 0.43299150466918945,
+      "learning_rate": 0.00014682230869001296,
+      "loss": 0.5207,
+      "step": 211
+    },
+    {
+      "epoch": 0.27310789049919487,
+      "grad_norm": 0.4674646854400635,
+      "learning_rate": 0.00014656290531776914,
+      "loss": 0.633,
+      "step": 212
+    },
+    {
+      "epoch": 0.2743961352657005,
+      "grad_norm": 0.47246885299682617,
+      "learning_rate": 0.0001463035019455253,
+      "loss": 0.63,
+      "step": 213
+    },
+    {
+      "epoch": 0.27568438003220613,
+      "grad_norm": 0.4799532890319824,
+      "learning_rate": 0.00014604409857328144,
+      "loss": 0.5846,
+      "step": 214
+    },
+    {
+      "epoch": 0.27697262479871176,
+      "grad_norm": 0.48897773027420044,
+      "learning_rate": 0.00014578469520103762,
+      "loss": 0.657,
+      "step": 215
+    },
+    {
+      "epoch": 0.2782608695652174,
+      "grad_norm": 0.49568456411361694,
+      "learning_rate": 0.00014552529182879377,
+      "loss": 0.6945,
+      "step": 216
+    },
+    {
+      "epoch": 0.279549114331723,
+      "grad_norm": 0.46613022685050964,
+      "learning_rate": 0.00014526588845654995,
+      "loss": 0.6267,
+      "step": 217
+    },
+    {
+      "epoch": 0.28083735909822866,
+      "grad_norm": 0.4964236617088318,
+      "learning_rate": 0.0001450064850843061,
+      "loss": 0.6615,
+      "step": 218
+    },
+    {
+      "epoch": 0.2821256038647343,
+      "grad_norm": 0.4489877223968506,
+      "learning_rate": 0.00014474708171206225,
+      "loss": 0.6948,
+      "step": 219
+    },
+    {
+      "epoch": 0.2834138486312399,
+      "grad_norm": 0.5140292644500732,
+      "learning_rate": 0.00014448767833981843,
+      "loss": 0.8171,
+      "step": 220
+    },
+    {
+      "epoch": 0.28470209339774555,
+      "grad_norm": 0.4359847605228424,
+      "learning_rate": 0.00014422827496757458,
+      "loss": 0.6989,
+      "step": 221
+    },
+    {
+      "epoch": 0.28599033816425123,
+      "grad_norm": 0.5368595719337463,
+      "learning_rate": 0.00014396887159533075,
+      "loss": 0.7401,
+      "step": 222
+    },
+    {
+      "epoch": 0.28727858293075687,
+      "grad_norm": 0.507578432559967,
+      "learning_rate": 0.0001437094682230869,
+      "loss": 0.7463,
+      "step": 223
+    },
+    {
+      "epoch": 0.2885668276972625,
+      "grad_norm": 0.45204558968544006,
+      "learning_rate": 0.00014345006485084306,
+      "loss": 0.6871,
+      "step": 224
+    },
+    {
+      "epoch": 0.2898550724637681,
+      "grad_norm": 0.5722612142562866,
+      "learning_rate": 0.00014319066147859923,
+      "loss": 0.8228,
+      "step": 225
+    },
+    {
+      "epoch": 0.29114331723027376,
+      "grad_norm": 0.517940104007721,
+      "learning_rate": 0.00014293125810635538,
+      "loss": 0.6969,
+      "step": 226
+    },
+    {
+      "epoch": 0.2924315619967794,
+      "grad_norm": 0.5305814146995544,
+      "learning_rate": 0.00014267185473411156,
+      "loss": 0.6804,
+      "step": 227
+    },
+    {
+      "epoch": 0.293719806763285,
+      "grad_norm": 0.4556657373905182,
+      "learning_rate": 0.0001424124513618677,
+      "loss": 0.7211,
+      "step": 228
+    },
+    {
+      "epoch": 0.29500805152979065,
+      "grad_norm": 0.4633258283138275,
+      "learning_rate": 0.0001421530479896239,
+      "loss": 0.7246,
+      "step": 229
+    },
+    {
+      "epoch": 0.2962962962962963,
+      "grad_norm": 0.5458325147628784,
+      "learning_rate": 0.00014189364461738004,
+      "loss": 0.7491,
+      "step": 230
+    },
+    {
+      "epoch": 0.2975845410628019,
+      "grad_norm": 0.4682518243789673,
+      "learning_rate": 0.0001416342412451362,
+      "loss": 0.7225,
+      "step": 231
+    },
+    {
+      "epoch": 0.29887278582930754,
+      "grad_norm": 0.557647168636322,
+      "learning_rate": 0.00014137483787289237,
+      "loss": 0.9169,
+      "step": 232
+    },
+    {
+      "epoch": 0.3001610305958132,
+      "grad_norm": 0.4621858596801758,
+      "learning_rate": 0.00014111543450064852,
+      "loss": 0.6662,
+      "step": 233
+    },
+    {
+      "epoch": 0.30144927536231886,
+      "grad_norm": 0.45244479179382324,
+      "learning_rate": 0.0001408560311284047,
+      "loss": 0.609,
+      "step": 234
+    },
+    {
+      "epoch": 0.3027375201288245,
+      "grad_norm": 0.4288184344768524,
+      "learning_rate": 0.00014059662775616082,
+      "loss": 0.5356,
+      "step": 235
+    },
+    {
+      "epoch": 0.3040257648953301,
+      "grad_norm": 0.4814804196357727,
+      "learning_rate": 0.000140337224383917,
+      "loss": 0.6848,
+      "step": 236
+    },
+    {
+      "epoch": 0.30531400966183575,
+      "grad_norm": 0.4778980314731598,
+      "learning_rate": 0.00014007782101167315,
+      "loss": 0.6261,
+      "step": 237
+    },
+    {
+      "epoch": 0.3066022544283414,
+      "grad_norm": 0.5332277417182922,
+      "learning_rate": 0.0001398184176394293,
+      "loss": 0.693,
+      "step": 238
+    },
+    {
+      "epoch": 0.307890499194847,
+      "grad_norm": 0.5362768173217773,
+      "learning_rate": 0.00013955901426718548,
+      "loss": 0.8103,
+      "step": 239
+    },
+    {
+      "epoch": 0.30917874396135264,
+      "grad_norm": 0.4951723515987396,
+      "learning_rate": 0.00013929961089494163,
+      "loss": 0.7545,
+      "step": 240
+    },
+    {
+      "epoch": 0.3104669887278583,
+      "grad_norm": 0.5059719085693359,
+      "learning_rate": 0.0001390402075226978,
+      "loss": 0.7839,
+      "step": 241
+    },
+    {
+      "epoch": 0.3117552334943639,
+      "grad_norm": 0.48774006962776184,
+      "learning_rate": 0.00013878080415045396,
+      "loss": 0.7298,
+      "step": 242
+    },
+    {
+      "epoch": 0.3130434782608696,
+      "grad_norm": 0.5305145978927612,
+      "learning_rate": 0.0001385214007782101,
+      "loss": 0.6327,
+      "step": 243
+    },
+    {
+      "epoch": 0.3143317230273752,
+      "grad_norm": 0.512080192565918,
+      "learning_rate": 0.0001382619974059663,
+      "loss": 0.7299,
+      "step": 244
+    },
+    {
+      "epoch": 0.31561996779388085,
+      "grad_norm": 0.4571267068386078,
+      "learning_rate": 0.00013800259403372244,
+      "loss": 0.6596,
+      "step": 245
+    },
+    {
+      "epoch": 0.3169082125603865,
+      "grad_norm": 0.4439844489097595,
+      "learning_rate": 0.00013774319066147862,
+      "loss": 0.5685,
+      "step": 246
+    },
+    {
+      "epoch": 0.3181964573268921,
+      "grad_norm": 0.44541025161743164,
+      "learning_rate": 0.00013748378728923477,
+      "loss": 0.7613,
+      "step": 247
+    },
+    {
+      "epoch": 0.31948470209339774,
+      "grad_norm": 0.5129593014717102,
+      "learning_rate": 0.00013722438391699092,
+      "loss": 0.7189,
+      "step": 248
+    },
+    {
+      "epoch": 0.3207729468599034,
+      "grad_norm": 0.47261303663253784,
+      "learning_rate": 0.0001369649805447471,
+      "loss": 0.6202,
+      "step": 249
+    },
+    {
+      "epoch": 0.322061191626409,
+      "grad_norm": 0.49240782856941223,
+      "learning_rate": 0.00013670557717250325,
+      "loss": 0.6502,
+      "step": 250
+    },
+    {
+      "epoch": 0.32334943639291464,
+      "grad_norm": 0.4962035119533539,
+      "learning_rate": 0.00013644617380025942,
+      "loss": 0.6356,
+      "step": 251
+    },
+    {
+      "epoch": 0.32463768115942027,
+      "grad_norm": 0.4743843078613281,
+      "learning_rate": 0.00013618677042801557,
+      "loss": 0.6484,
+      "step": 252
+    },
+    {
+      "epoch": 0.32592592592592595,
+      "grad_norm": 0.42563027143478394,
+      "learning_rate": 0.00013592736705577172,
+      "loss": 0.5121,
+      "step": 253
+    },
+    {
+      "epoch": 0.3272141706924316,
+      "grad_norm": 0.6245629191398621,
+      "learning_rate": 0.0001356679636835279,
+      "loss": 0.6988,
+      "step": 254
+    },
+    {
+      "epoch": 0.3285024154589372,
+      "grad_norm": 0.4832860231399536,
+      "learning_rate": 0.00013540856031128405,
+      "loss": 0.6536,
+      "step": 255
+    },
+    {
+      "epoch": 0.32979066022544284,
+      "grad_norm": 0.49633902311325073,
+      "learning_rate": 0.00013514915693904023,
+      "loss": 0.6425,
+      "step": 256
+    },
+    {
+      "epoch": 0.3310789049919485,
+      "grad_norm": 0.4707057476043701,
+      "learning_rate": 0.00013488975356679638,
+      "loss": 0.5536,
+      "step": 257
+    },
+    {
+      "epoch": 0.3323671497584541,
+      "grad_norm": 0.47515928745269775,
+      "learning_rate": 0.00013463035019455256,
+      "loss": 0.6596,
+      "step": 258
+    },
+    {
+      "epoch": 0.33365539452495974,
+      "grad_norm": 0.48092156648635864,
+      "learning_rate": 0.00013437094682230868,
+      "loss": 0.7894,
+      "step": 259
+    },
+    {
+      "epoch": 0.33494363929146537,
+      "grad_norm": 0.5095347762107849,
+      "learning_rate": 0.00013411154345006486,
+      "loss": 0.7132,
+      "step": 260
+    },
+    {
+      "epoch": 0.336231884057971,
+      "grad_norm": 0.43584874272346497,
+      "learning_rate": 0.000133852140077821,
+      "loss": 0.749,
+      "step": 261
+    },
+    {
+      "epoch": 0.33752012882447663,
+      "grad_norm": 0.4876052141189575,
+      "learning_rate": 0.00013359273670557716,
+      "loss": 0.6125,
+      "step": 262
+    },
+    {
+      "epoch": 0.33880837359098226,
+      "grad_norm": 0.473090797662735,
+      "learning_rate": 0.00013333333333333334,
+      "loss": 0.7539,
+      "step": 263
+    },
+    {
+      "epoch": 0.34009661835748795,
+      "grad_norm": 0.47102978825569153,
+      "learning_rate": 0.0001330739299610895,
+      "loss": 0.5733,
+      "step": 264
+    },
+    {
+      "epoch": 0.3413848631239936,
+      "grad_norm": 0.5115414261817932,
+      "learning_rate": 0.00013281452658884567,
+      "loss": 0.6236,
+      "step": 265
+    },
+    {
+      "epoch": 0.3426731078904992,
+      "grad_norm": 0.43158426880836487,
+      "learning_rate": 0.00013255512321660182,
+      "loss": 0.6183,
+      "step": 266
+    },
+    {
+      "epoch": 0.34396135265700484,
+      "grad_norm": 0.4792426526546478,
+      "learning_rate": 0.00013229571984435797,
+      "loss": 0.6774,
+      "step": 267
+    },
+    {
+      "epoch": 0.34524959742351047,
+      "grad_norm": 0.5013278722763062,
+      "learning_rate": 0.00013203631647211415,
+      "loss": 0.6844,
+      "step": 268
+    },
+    {
+      "epoch": 0.3465378421900161,
+      "grad_norm": 0.4886541962623596,
+      "learning_rate": 0.0001317769130998703,
+      "loss": 0.6246,
+      "step": 269
+    },
+    {
+      "epoch": 0.34782608695652173,
+      "grad_norm": 0.4923342764377594,
+      "learning_rate": 0.00013151750972762648,
+      "loss": 0.627,
+      "step": 270
+    },
+    {
+      "epoch": 0.34911433172302736,
+      "grad_norm": 0.4681992530822754,
+      "learning_rate": 0.00013125810635538263,
+      "loss": 0.5414,
+      "step": 271
+    },
+    {
+      "epoch": 0.350402576489533,
+      "grad_norm": 0.4855780601501465,
+      "learning_rate": 0.00013099870298313878,
+      "loss": 0.7033,
+      "step": 272
+    },
+    {
+      "epoch": 0.3516908212560386,
+      "grad_norm": 0.41546106338500977,
+      "learning_rate": 0.00013073929961089496,
+      "loss": 0.5949,
+      "step": 273
+    },
+    {
+      "epoch": 0.3529790660225443,
+      "grad_norm": 0.45225030183792114,
+      "learning_rate": 0.0001304798962386511,
+      "loss": 0.5632,
+      "step": 274
+    },
+    {
+      "epoch": 0.35426731078904994,
+      "grad_norm": 0.6602481007575989,
+      "learning_rate": 0.00013022049286640728,
+      "loss": 0.66,
+      "step": 275
+    },
+    {
+      "epoch": 0.35555555555555557,
+      "grad_norm": 0.4977152347564697,
+      "learning_rate": 0.00012996108949416343,
+      "loss": 0.8717,
+      "step": 276
+    },
+    {
+      "epoch": 0.3568438003220612,
+      "grad_norm": 0.4115367829799652,
+      "learning_rate": 0.00012970168612191958,
+      "loss": 0.6311,
+      "step": 277
+    },
+    {
+      "epoch": 0.35813204508856683,
+      "grad_norm": 0.43833300471305847,
+      "learning_rate": 0.00012944228274967576,
+      "loss": 0.5418,
+      "step": 278
+    },
+    {
+      "epoch": 0.35942028985507246,
+      "grad_norm": 0.47901472449302673,
+      "learning_rate": 0.0001291828793774319,
+      "loss": 0.6177,
+      "step": 279
+    },
+    {
+      "epoch": 0.3607085346215781,
+      "grad_norm": 0.6596689820289612,
+      "learning_rate": 0.0001289234760051881,
+      "loss": 0.5423,
+      "step": 280
+    },
+    {
+      "epoch": 0.3619967793880837,
+      "grad_norm": 0.46915528178215027,
+      "learning_rate": 0.00012866407263294424,
+      "loss": 0.6927,
+      "step": 281
+    },
+    {
+      "epoch": 0.36328502415458935,
+      "grad_norm": 0.501135528087616,
+      "learning_rate": 0.0001284046692607004,
+      "loss": 0.6564,
+      "step": 282
+    },
+    {
+      "epoch": 0.364573268921095,
+      "grad_norm": 0.5346766114234924,
+      "learning_rate": 0.00012814526588845657,
+      "loss": 0.7312,
+      "step": 283
+    },
+    {
+      "epoch": 0.36586151368760067,
+      "grad_norm": 0.4706318974494934,
+      "learning_rate": 0.0001278858625162127,
+      "loss": 0.7158,
+      "step": 284
+    },
+    {
+      "epoch": 0.3671497584541063,
+      "grad_norm": 0.5330987572669983,
+      "learning_rate": 0.00012762645914396887,
+      "loss": 0.6714,
+      "step": 285
+    },
+    {
+      "epoch": 0.36843800322061193,
+      "grad_norm": 0.6422376036643982,
+      "learning_rate": 0.00012736705577172502,
+      "loss": 0.7775,
+      "step": 286
+    },
+    {
+      "epoch": 0.36972624798711756,
+      "grad_norm": 0.5276264548301697,
+      "learning_rate": 0.0001271076523994812,
+      "loss": 0.774,
+      "step": 287
+    },
+    {
+      "epoch": 0.3710144927536232,
+      "grad_norm": 0.5105241537094116,
+      "learning_rate": 0.00012684824902723735,
+      "loss": 0.8333,
+      "step": 288
+    },
+    {
+      "epoch": 0.3723027375201288,
+      "grad_norm": 0.44732967019081116,
+      "learning_rate": 0.00012658884565499353,
+      "loss": 0.7609,
+      "step": 289
+    },
+    {
+      "epoch": 0.37359098228663445,
+      "grad_norm": 0.5668761730194092,
+      "learning_rate": 0.00012632944228274968,
+      "loss": 0.6967,
+      "step": 290
+    },
+    {
+      "epoch": 0.3748792270531401,
+      "grad_norm": 0.5016936659812927,
+      "learning_rate": 0.00012607003891050583,
+      "loss": 0.7501,
+      "step": 291
+    },
+    {
+      "epoch": 0.3761674718196457,
+      "grad_norm": 0.4727458357810974,
+      "learning_rate": 0.000125810635538262,
+      "loss": 0.631,
+      "step": 292
+    },
+    {
+      "epoch": 0.37745571658615135,
+      "grad_norm": 0.49924930930137634,
+      "learning_rate": 0.00012555123216601816,
+      "loss": 0.5374,
+      "step": 293
+    },
+    {
+      "epoch": 0.37874396135265703,
+      "grad_norm": 0.5417680144309998,
+      "learning_rate": 0.00012529182879377434,
+      "loss": 0.8162,
+      "step": 294
+    },
+    {
+      "epoch": 0.38003220611916266,
+      "grad_norm": 0.5201066136360168,
+      "learning_rate": 0.0001250324254215305,
+      "loss": 0.6892,
+      "step": 295
+    },
+    {
+      "epoch": 0.3813204508856683,
+      "grad_norm": 0.4839157462120056,
+      "learning_rate": 0.00012477302204928664,
+      "loss": 0.7909,
+      "step": 296
+    },
+    {
+      "epoch": 0.3826086956521739,
+      "grad_norm": 0.5097575187683105,
+      "learning_rate": 0.00012451361867704282,
+      "loss": 0.7685,
+      "step": 297
+    },
+    {
+      "epoch": 0.38389694041867956,
+      "grad_norm": 0.463728129863739,
+      "learning_rate": 0.00012425421530479897,
+      "loss": 0.7066,
+      "step": 298
+    },
+    {
+      "epoch": 0.3851851851851852,
+      "grad_norm": 0.5831190347671509,
+      "learning_rate": 0.00012399481193255514,
+      "loss": 0.7932,
+      "step": 299
+    },
+    {
+      "epoch": 0.3864734299516908,
+      "grad_norm": 0.43702277541160583,
+      "learning_rate": 0.0001237354085603113,
+      "loss": 0.5549,
+      "step": 300
+    }
+  ],
+  "logging_steps": 1,
+  "max_steps": 776,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 1,
+  "save_steps": 100,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": false
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 2.3790455362041446e+17,
+  "train_batch_size": 4,
+  "trial_name": null,
+  "trial_params": null
+}

RAFT-Qwen2.5VL-top1-min2cand-ckpts/checkpoint-300/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7bd30bd30d599ec5545d25d46742876009ffca4b5f3fcbccf8898bb989d0e41d
+size 6033

RAFT-Qwen2.5VL-top1-min2cand-ckpts/checkpoint-400/README.md

@@ -0,0 +1,202 @@
+---
+base_model: unsloth/qwen2.5-vl-7b-instruct-unsloth-bnb-4bit
+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 0.15.2