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Model: abhid1234/qwen-0.5b-tool-agent-grpo
Source: Original Platform

.gitattributes

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README.md

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+---
+library_name: transformers
+tags: []
+---
+
+# 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. -->
+
+This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
+
+- **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]

artifacts/eval_results.json

@@ -0,0 +1,412 @@
+{
+  "step": 15,
+  "scenarios_path": "data/scenarios_val.jsonl",
+  "num_generations": 8,
+  "total_scenarios": 50,
+  "total_rollouts": 400,
+  "successes": 18,
+  "accuracy_pct": 4.5,
+  "avg_reward": -1.8850000000000002,
+  "per_scenario": [
+    {
+      "scenario_index": 0,
+      "task": "Convert 98 kg to lbs.",
+      "mean_reward": 3.125,
+      "max_reward": 4.0,
+      "success_count": 7,
+      "total_attempts": 8
+    },
+    {
+      "scenario_index": 1,
+      "task": "What is the speed of light?",
+      "mean_reward": -2.5,
+      "max_reward": -2.0,
+      "success_count": 0,
+      "total_attempts": 8
+    },
+    {
+      "scenario_index": 2,
+      "task": "What is the distance from Earth to the Sun in km in miles?",
+      "mean_reward": 0.5625,
+      "max_reward": 2.5,
+      "success_count": 1,
+      "total_attempts": 8
+    },
+    {
+      "scenario_index": 3,
+      "task": "What is 441 plus 23?",
+      "mean_reward": 2.25,
+      "max_reward": 4.0,
+      "success_count": 1,
+      "total_attempts": 8
+    },
+    {
+      "scenario_index": 4,
+      "task": "Convert 62 kg to lbs.",
+      "mean_reward": -3.0,
+      "max_reward": -3.0,
+      "success_count": 0,
+      "total_attempts": 8
+    },
+    {
+      "scenario_index": 5,
+      "task": "Which is hotter right now, London or Mumbai?",
+      "mean_reward": -2.875,
+      "max_reward": -2.0,
+      "success_count": 0,
+      "total_attempts": 8
+    },
+    {
+      "scenario_index": 6,
+      "task": "What is 185 plus 89?",
+      "mean_reward": -3.0,
+      "max_reward": -3.0,
+      "success_count": 0,
+      "total_attempts": 8
+    },
+    {
+      "scenario_index": 7,
+      "task": "What's the weather like in Dubai?",
+      "mean_reward": -1.375,
+      "max_reward": 4.0,
+      "success_count": 2,
+      "total_attempts": 8
+    },
+    {
+      "scenario_index": 8,
+      "task": "What is the population of Germany divided by its area in km2?",
+      "mean_reward": -2.041666666666667,
+      "max_reward": 1.666666666666666,
+      "success_count": 0,
+      "total_attempts": 8
+    },
+    {
+      "scenario_index": 9,
+      "task": "What is the boiling point of water?",
+      "mean_reward": -3.0,
+      "max_reward": -3.0,
+      "success_count": 0,
+      "total_attempts": 8
+    },
+    {
+      "scenario_index": 10,
+      "task": "Which is hotter right now, London or Mumbai?",
+      "mean_reward": -2.0,
+      "max_reward": -2.0,
+      "success_count": 0,
+      "total_attempts": 8
+    },
+    {
+      "scenario_index": 11,
+      "task": "What is the population of India divided by its area in km2?",
+      "mean_reward": -2.125,
+      "max_reward": -2.0,
+      "success_count": 0,
+      "total_attempts": 8
+    },
+    {
+      "scenario_index": 12,
+      "task": "What is India's population density in people per square mile?",
+      "mean_reward": -1.25,
+      "max_reward": 1.333333333333333,
+      "success_count": 0,
+      "total_attempts": 8
+    },
+    {
+      "scenario_index": 13,
+      "task": "What is the tallest mountain?",
+      "mean_reward": -2.875,
+      "max_reward": -2.0,
+      "success_count": 0,
+      "total_attempts": 8
+    },
+    {
+      "scenario_index": 14,
+      "task": "What is the distance from Earth to the Sun in km in miles?",
+      "mean_reward": -1.875,
+      "max_reward": 1.5,
+      "success_count": 0,
+      "total_attempts": 8
+    },
+    {
+      "scenario_index": 15,
+      "task": "What is the population of Japan divided by its area in km2?",
+      "mean_reward": -2.875,
+      "max_reward": -2.0,
+      "success_count": 0,
+      "total_attempts": 8
+    },
+    {
+      "scenario_index": 16,
+      "task": "What is Germany's population density in people per square mile?",
+      "mean_reward": -3.0,
+      "max_reward": -3.0,
+      "success_count": 0,
+      "total_attempts": 8
+    },
+    {
+      "scenario_index": 17,
+      "task": "Convert 74 kg to lbs.",
+      "mean_reward": -3.0,
+      "max_reward": -3.0,
+      "success_count": 0,
+      "total_attempts": 8
+    },
+    {
+      "scenario_index": 18,
+      "task": "Which is hotter right now, Paris or Cairo?",
+      "mean_reward": -3.0,
+      "max_reward": -3.0,
+      "success_count": 0,
+      "total_attempts": 8
+    },
+    {
+      "scenario_index": 19,
+      "task": "What is India's population density in people per square mile?",
+      "mean_reward": -1.5,
+      "max_reward": 1.333333333333333,
+      "success_count": 0,
+      "total_attempts": 8
+    },
+    {
+      "scenario_index": 20,
+      "task": "Which country has a larger population, France or Brazil?",
+      "mean_reward": -3.0,
+      "max_reward": -3.0,
+      "success_count": 0,
+      "total_attempts": 8
+    },
+    {
+      "scenario_index": 21,
+      "task": "Convert 64 kg to lbs.",
+      "mean_reward": -3.0,
+      "max_reward": -3.0,
+      "success_count": 0,
+      "total_attempts": 8
+    },
+    {
+      "scenario_index": 22,
+      "task": "Which country has a larger population, Japan or India?",
+      "mean_reward": -1.5625,
+      "max_reward": 3.0,
+      "success_count": 2,
+      "total_attempts": 8
+    },
+    {
+      "scenario_index": 23,
+      "task": "What is the GDP of Japan?",
+      "mean_reward": -2.75,
+      "max_reward": -2.0,
+      "success_count": 0,
+      "total_attempts": 8
+    },
+    {
+      "scenario_index": 24,
+      "task": "What is the population of France divided by its area in km2?",
+      "mean_reward": -2.875,
+      "max_reward": -2.0,
+      "success_count": 0,
+      "total_attempts": 8
+    },
+    {
+      "scenario_index": 25,
+      "task": "What is France's population density in people per square mile?",
+      "mean_reward": -2.5,
+      "max_reward": 1.0,
+      "success_count": 0,
+      "total_attempts": 8
+    },
+    {
+      "scenario_index": 26,
+      "task": "Convert 26 kg to lbs.",
+      "mean_reward": -3.0,
+      "max_reward": -3.0,
+      "success_count": 0,
+      "total_attempts": 8
+    },
+    {
+      "scenario_index": 27,
+      "task": "What is 660 times 87?",
+      "mean_reward": 1.0,
+      "max_reward": 4.0,
+      "success_count": 1,
+      "total_attempts": 8
+    },
+    {
+      "scenario_index": 28,
+      "task": "What is the boiling point of water?",
+      "mean_reward": -2.5,
+      "max_reward": -2.0,
+      "success_count": 0,
+      "total_attempts": 8
+    },
+    {
+      "scenario_index": 29,
+      "task": "What is the population of Germany divided by its area in km2?",
+      "mean_reward": -1.125,
+      "max_reward": 2.333333333333333,
+      "success_count": 1,
+      "total_attempts": 8
+    },
+    {
+      "scenario_index": 30,
+      "task": "Convert 40 kg to lbs.",
+      "mean_reward": -3.0,
+      "max_reward": -3.0,
+      "success_count": 0,
+      "total_attempts": 8
+    },
+    {
+      "scenario_index": 31,
+      "task": "What is the speed of light?",
+      "mean_reward": -2.375,
+      "max_reward": -2.0,
+      "success_count": 0,
+      "total_attempts": 8
+    },
+    {
+      "scenario_index": 32,
+      "task": "How old was Guido van Rossum in 2024?",
+      "mean_reward": -2.875,
+      "max_reward": -2.0,
+      "success_count": 0,
+      "total_attempts": 8
+    },
+    {
+      "scenario_index": 33,
+      "task": "Which is hotter right now, Paris or Dubai?",
+      "mean_reward": -3.0,
+      "max_reward": -3.0,
+      "success_count": 0,
+      "total_attempts": 8
+    },
+    {
+      "scenario_index": 34,
+      "task": "Which is hotter right now, Tokyo or Dubai?",
+      "mean_reward": -2.875,
+      "max_reward": -2.0,
+      "success_count": 0,
+      "total_attempts": 8
+    },
+    {
+      "scenario_index": 35,
+      "task": "Which is hotter right now, London or Cairo?",
+      "mean_reward": -2.375,
+      "max_reward": -2.0,
+      "success_count": 0,
+      "total_attempts": 8
+    },
+    {
+      "scenario_index": 36,
+      "task": "What is the value of pi?",
+      "mean_reward": -2.125,
+      "max_reward": -2.0,
+      "success_count": 0,
+      "total_attempts": 8
+    },
+    {
+      "scenario_index": 37,
+      "task": "What is the population of Japan divided by its area in km2?",
+      "mean_reward": -1.6666666666666667,
+      "max_reward": 1.666666666666666,
+      "success_count": 0,
+      "total_attempts": 8
+    },
+    {
+      "scenario_index": 38,
+      "task": "What is the temperature in London in Fahrenheit?",
+      "mean_reward": -1.375,
+      "max_reward": 1.5,
+      "success_count": 0,
+      "total_attempts": 8
+    },
+    {
+      "scenario_index": 39,
+      "task": "What is 464 plus 30?",
+      "mean_reward": -1.75,
+      "max_reward": 2.0,
+      "success_count": 0,
+      "total_attempts": 8
+    },
+    {
+      "scenario_index": 40,
+      "task": "Which country has a larger population, France or India?",
+      "mean_reward": -2.1875,
+      "max_reward": 2.5,
+      "success_count": 1,
+      "total_attempts": 8
+    },
+    {
+      "scenario_index": 41,
+      "task": "What is the distance from Earth to the Sun in km in miles?",
+      "mean_reward": -1.625,
+      "max_reward": 2.0,
+      "success_count": 0,
+      "total_attempts": 8
+    },
+    {
+      "scenario_index": 42,
+      "task": "What is the tallest mountain?",
+      "mean_reward": -1.125,
+      "max_reward": 2.0,
+      "success_count": 0,
+      "total_attempts": 8
+    },
+    {
+      "scenario_index": 43,
+      "task": "What is the temperature in London in Fahrenheit?",
+      "mean_reward": 0.6875,
+      "max_reward": 2.0,
+      "success_count": 0,
+      "total_attempts": 8
+    },
+    {
+      "scenario_index": 44,
+      "task": "What is 496 minus 24?",
+      "mean_reward": 1.0,
+      "max_reward": 2.0,
+      "success_count": 0,
+      "total_attempts": 8
+    },
+    {
+      "scenario_index": 45,
+      "task": "What's the weather like in Cairo?",
+      "mean_reward": -1.25,
+      "max_reward": 4.0,
+      "success_count": 2,
+      "total_attempts": 8
+    },
+    {
+      "scenario_index": 46,
+      "task": "What is the tallest mountain?",
+      "mean_reward": -2.5,
+      "max_reward": -2.0,
+      "success_count": 0,
+      "total_attempts": 8
+    },
+    {
+      "scenario_index": 47,
+      "task": "What is India's population density in people per square mile?",
+      "mean_reward": -1.7916666666666667,
+      "max_reward": 1.333333333333333,
+      "success_count": 0,
+      "total_attempts": 8
+    },
+    {
+      "scenario_index": 48,
+      "task": "What is the GDP of France?",
+      "mean_reward": -2.625,
+      "max_reward": -2.0,
+      "success_count": 0,
+      "total_attempts": 8
+    },
+    {
+      "scenario_index": 49,
+      "task": "How old was Guido van Rossum in 2024?",
+      "mean_reward": -2.75,
+      "max_reward": -2.0,
+      "success_count": 0,
+      "total_attempts": 8
+    }
+  ]
+}

artifacts/reward_curve.txt

@@ -0,0 +1,16 @@
+  Avg reward: -0.208 | Avg tools/rollout: 0.9 | groups with variance: 4/4
+  Avg reward: 1.969 | Avg tools/rollout: 1.0 | groups with variance: 1/4
+  Avg reward: 0.854 | Avg tools/rollout: 1.0 | groups with variance: 4/4
+  Avg reward: 1.193 | Avg tools/rollout: 0.9 | groups with variance: 3/4
+  Avg reward: -2.094 | Avg tools/rollout: 0.8 | groups with variance: 3/4
+  Avg reward: 0.505 | Avg tools/rollout: 0.9 | groups with variance: 4/4
+  Avg reward: -0.141 | Avg tools/rollout: 0.8 | groups with variance: 4/4
+  Avg reward: -0.797 | Avg tools/rollout: 0.9 | groups with variance: 4/4
+  Avg reward: 0.307 | Avg tools/rollout: 0.9 | groups with variance: 3/4
+  Avg reward: -1.125 | Avg tools/rollout: 1.0 | groups with variance: 1/4
+  Avg reward: -1.359 | Avg tools/rollout: 0.9 | groups with variance: 4/4
+  Avg reward: 0.484 | Avg tools/rollout: 1.0 | groups with variance: 3/4
+  Avg reward: -0.073 | Avg tools/rollout: 0.9 | groups with variance: 4/4
+  Avg reward: 1.740 | Avg tools/rollout: 1.0 | groups with variance: 3/4
+  Avg reward: 0.635 | Avg tools/rollout: 1.0 | groups with variance: 3/4
+  Avg reward: 1.615 | Avg tools/rollout: 0.9 | groups with variance: 2/4

chat_template.jinja

@@ -0,0 +1,54 @@
+{%- if tools %}
+    {{- '<|im_start|>system\n' }}
+    {%- if messages[0]['role'] == 'system' %}
+        {{- messages[0]['content'] }}
+    {%- else %}
+        {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
+    {%- endif %}
+    {{- "\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>" }}
+    {%- for tool in tools %}
+        {{- "\n" }}
+        {{- tool | tojson }}
+    {%- endfor %}
+    {{- "\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" }}
+{%- else %}
+    {%- if messages[0]['role'] == 'system' %}
+        {{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
+    {%- else %}
+        {{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
+    {%- endif %}
+{%- endif %}
+{%- for message in messages %}
+    {%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
+        {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
+    {%- elif message.role == "assistant" %}
+        {{- '<|im_start|>' + message.role }}
+        {%- if message.content %}
+            {{- '\n' + message.content }}
+        {%- endif %}
+        {%- for tool_call in message.tool_calls %}
+            {%- if tool_call.function is defined %}
+                {%- set tool_call = tool_call.function %}
+            {%- endif %}
+            {{- '\n<tool_call>\n{"name": "' }}
+            {{- tool_call.name }}
+            {{- '", "arguments": ' }}
+            {{- tool_call.arguments | tojson }}
+            {{- '}\n</tool_call>' }}
+        {%- endfor %}
+        {{- '<|im_end|>\n' }}
+    {%- elif message.role == "tool" %}
+        {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
+            {{- '<|im_start|>user' }}
+        {%- endif %}
+        {{- '\n<tool_response>\n' }}
+        {{- message.content }}
+        {{- '\n</tool_response>' }}
+        {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
+            {{- '<|im_end|>\n' }}
+        {%- endif %}
+    {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+    {{- '<|im_start|>assistant\n' }}
+{%- endif %}

config.json

@@ -0,0 +1,57 @@
+{
+  "architectures": [
+    "Qwen2ForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 151643,
+  "dtype": "bfloat16",
+  "eos_token_id": 151645,
+  "hidden_act": "silu",
+  "hidden_size": 896,
+  "initializer_range": 0.02,
+  "intermediate_size": 4864,
+  "layer_types": [
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention"
+  ],
+  "max_position_embeddings": 32768,
+  "max_window_layers": 21,
+  "model_type": "qwen2",
+  "num_attention_heads": 14,
+  "num_hidden_layers": 24,
+  "num_key_value_heads": 2,
+  "pad_token_id": null,
+  "rms_norm_eps": 1e-06,
+  "rope_parameters": {
+    "rope_theta": 1000000.0,
+    "rope_type": "default"
+  },
+  "sliding_window": null,
+  "tie_word_embeddings": true,
+  "transformers_version": "5.2.0",
+  "use_cache": true,
+  "use_sliding_window": false,
+  "vocab_size": 151936
+}

generation_config.json

@@ -0,0 +1,14 @@
+{
+  "bos_token_id": 151643,
+  "do_sample": true,
+  "eos_token_id": [
+    151645,
+    151643
+  ],
+  "pad_token_id": 151643,
+  "repetition_penalty": 1.1,
+  "temperature": 0.7,
+  "top_k": 20,
+  "top_p": 0.8,
+  "transformers_version": "5.2.0"
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f1ce74637a68f2305f02771cfbf5336782b145f388fae4f87b1ef1b1f84b08c6
+size 988097824

tokenizer.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bd5948af71b4f56cf697f7580814c7ce8b80595ef985544efcacf716126a2e31
+size 11422356

tokenizer_config.json

@@ -0,0 +1,15 @@
+{
+  "add_prefix_space": false,
+  "backend": "tokenizers",
+  "bos_token": null,
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
+  "is_local": true,
+  "model_max_length": 32768,
+  "pad_token": "<|PAD_TOKEN|>",
+  "padding_side": "right",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}