Training in progress, step 10, checkpoint

.gitattributes

@@ -34,3 +34,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
 tokenizer.json filter=lfs diff=lfs merge=lfs -text
+last-checkpoint/tokenizer.json filter=lfs diff=lfs merge=lfs -text

last-checkpoint/README.md

@@ -0,0 +1,210 @@
+---
+base_model: unsloth/qwen3-4b-unsloth-bnb-4bit
+library_name: peft
+pipeline_tag: text-generation
+tags:
+- base_model:adapter:unsloth/qwen3-4b-unsloth-bnb-4bit
+- grpo
+- lora
+- transformers
+- trl
+- unsloth
+---
+
+# 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 0.18.1

last-checkpoint/adapter_config.json

@@ -0,0 +1,46 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": {
+    "base_model_class": "Qwen3ForCausalLM",
+    "parent_library": "transformers.models.qwen3.modeling_qwen3",
+    "unsloth_fixed": true
+  },
+  "base_model_name_or_path": "unsloth/qwen3-4b-unsloth-bnb-4bit",
+  "bias": "none",
+  "corda_config": null,
+  "ensure_weight_tying": false,
+  "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": 32.0,
+  "lora_bias": false,
+  "lora_dropout": 0.0,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "peft_version": "0.18.1",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "gate_proj",
+    "up_proj",
+    "down_proj"
+  ],
+  "target_parameters": null,
+  "task_type": "CAUSAL_LM",
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}

last-checkpoint/adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:af6dffbfe2210dae9df541ae77188a24ae41ee73b5d9c33bcccbde8674b6cfab
+size 84962944

last-checkpoint/added_tokens.json

@@ -0,0 +1,29 @@
+{
+  "</think>": 151668,
+  "</tool_call>": 151658,
+  "</tool_response>": 151666,
+  "<think>": 151667,
+  "<tool_call>": 151657,
+  "<tool_response>": 151665,
+  "<|PAD_TOKEN|>": 151669,
+  "<|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
+}

last-checkpoint/chat_template.jinja

@@ -0,0 +1,97 @@
+{%- if tools %}
+    {{- '<|im_start|>system\n' }}
+    {%- if messages[0].role == 'system' %}
+        {{- messages[0].content + '\n\n' }}
+    {%- endif %}
+    {{- "# 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' }}
+    {%- endif %}
+{%- endif %}
+{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
+{%- for forward_message in messages %}
+    {%- set index = (messages|length - 1) - loop.index0 %}
+    {%- set message = messages[index] %}
+    {%- set tool_start = '<tool_response>' %}
+    {%- set tool_start_length = tool_start|length %}
+    {%- set start_of_message = message.content[:tool_start_length] %}
+    {%- set tool_end = '</tool_response>' %}
+    {%- set tool_end_length = tool_end|length %}
+    {%- set start_pos = (message.content|length) - tool_end_length %}
+    {%- if start_pos < 0 %}
+        {%- set start_pos = 0 %}
+    {%- endif %}
+    {%- set end_of_message = message.content[start_pos:] %}
+    {%- if ns.multi_step_tool and message.role == "user" and not(start_of_message == tool_start and end_of_message == tool_end) %}
+        {%- set ns.multi_step_tool = false %}
+        {%- set ns.last_query_index = index %}
+    {%- endif %}
+{%- endfor %}
+{%- for message in messages %}
+    {%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
+        {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
+    {%- elif message.role == "assistant" %}
+        {%- set content = message.content %}
+        {%- set reasoning_content = '' %}
+        {%- if message.reasoning_content is defined and message.reasoning_content is not none %}
+            {%- set reasoning_content = message.reasoning_content %}
+        {%- else %}
+            {%- if '</think>' in message.content %}
+                {%- set content = (message.content.split('</think>')|last).lstrip('\n') %}
+                {%- set reasoning_content = (message.content.split('</think>')|first).rstrip('\n') %}
+                {%- set reasoning_content = (reasoning_content.split('<think>')|last).lstrip('\n') %}
+            {%- endif %}
+        {%- endif %}
+        {%- if loop.index0 > ns.last_query_index %}
+            {%- if loop.last or (not loop.last and reasoning_content) %}
+                {{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
+            {%- else %}
+                {{- '<|im_start|>' + message.role + '\n' + content }}
+            {%- endif %}
+        {%- else %}
+            {{- '<|im_start|>' + message.role + '\n' + content }}
+        {%- endif %}
+        {%- if message.tool_calls %}
+            {%- for tool_call in message.tool_calls %}
+                {%- if (loop.first and content) or (not loop.first) %}
+                    {{- '\n' }}
+                {%- endif %}
+                {%- if tool_call.function %}
+                    {%- set tool_call = tool_call.function %}
+                {%- endif %}
+                {{- '<tool_call>\n{"name": "' }}
+                {{- tool_call.name }}
+                {{- '", "arguments": ' }}
+                {%- if tool_call.arguments is string %}
+                    {{- tool_call.arguments }}
+                {%- else %}
+                    {{- tool_call.arguments | tojson }}
+                {%- endif %}
+                {{- '}\n</tool_call>' }}
+            {%- endfor %}
+        {%- endif %}
+        {{- '<|im_end|>\n' }}
+    {%- elif message.role == "tool" %}
+        {%- if loop.first 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' }}
+    {%- if enable_thinking is defined and enable_thinking is false %}
+        {{- '<think>\n\n</think>\n\n' }}
+    {%- endif %}
+{%- endif %}

last-checkpoint/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ef2e5a2525813427fc9403a0fe0b0761f065b752fe9f710c82259fec5b850cd4
+size 43387339

last-checkpoint/rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:dd7b99fc60cc91514b55545c14022d1bc7891c7c524f896e85863ade1a3312d0
+size 14645

last-checkpoint/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ac9be38ccfb95dc4731bf14e3b37e23160c456ff292e8497c9601d585933ca73
+size 1465

last-checkpoint/special_tokens_map.json

@@ -0,0 +1,25 @@
+{
+  "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": "<|PAD_TOKEN|>"
+}

last-checkpoint/tokenizer.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:10ba4ba91270b1a50e5cd8e51023bccc66fc4ac4909dd7ae7ab29433411c9bb9
+size 11422844

last-checkpoint/tokenizer_config.json

@@ -0,0 +1,248 @@
+{
+  "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
+    },
+    "151665": {
+      "content": "<tool_response>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151666": {
+      "content": "</tool_response>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151667": {
+      "content": "<think>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151668": {
+      "content": "</think>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151669": {
+      "content": "<|PAD_TOKEN|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "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,
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
+  "extra_special_tokens": {},
+  "model_max_length": 40960,
+  "pad_token": "<|PAD_TOKEN|>",
+  "padding_side": "right",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}

last-checkpoint/trainer_state.json

@@ -0,0 +1,324 @@
+{
+  "best_global_step": null,
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 0.15625,
+  "eval_steps": 500,
+  "global_step": 10,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "clip_ratio/high_max": 0.0034722222480922937,
+      "clip_ratio/high_mean": 0.0034722222480922937,
+      "clip_ratio/low_mean": 0.008854442741721869,
+      "clip_ratio/low_min": 0.008854442741721869,
+      "clip_ratio/region_mean": 0.012326664989814162,
+      "completion_length": 118.75,
+      "completions/clipped_ratio": 0.0,
+      "completions/max_length": 333.0,
+      "completions/max_terminated_length": 333.0,
+      "completions/mean_length": 118.75,
+      "completions/mean_terminated_length": 118.75,
+      "completions/min_length": 34.0,
+      "completions/min_terminated_length": 34.0,
+      "epoch": 0.015625,
+      "frac_reward_zero_std": 0.0,
+      "grad_norm": 1.2145720720291138,
+      "kl": 0.002251284953672439,
+      "learning_rate": 0.0,
+      "loss": -0.0042,
+      "num_tokens": 1715.0,
+      "reward": 0.5249999761581421,
+      "reward_std": 0.0995359793305397,
+      "rewards/reward_format_exact/mean": 0.20000000298023224,
+      "rewards/reward_format_exact/std": 0.0,
+      "rewards/reward_wordle_strict/mean": 0.32499998807907104,
+      "rewards/reward_wordle_strict/std": 0.09953596442937851,
+      "step": 1
+    },
+    {
+      "clip_ratio/high_max": 0.022978381253778934,
+      "clip_ratio/high_mean": 0.022978381253778934,
+      "clip_ratio/low_mean": 0.0008333333535119891,
+      "clip_ratio/low_min": 0.0008333333535119891,
+      "clip_ratio/region_mean": 0.023811714607290924,
+      "completion_length": 202.5,
+      "completions/clipped_ratio": 0.0,
+      "completions/max_length": 312.0,
+      "completions/max_terminated_length": 312.0,
+      "completions/mean_length": 202.5,
+      "completions/mean_terminated_length": 202.5,
+      "completions/min_length": 14.0,
+      "completions/min_terminated_length": 14.0,
+      "epoch": 0.03125,
+      "frac_reward_zero_std": 0.0,
+      "grad_norm": 0.8259456157684326,
+      "kl": 0.0017154518573079258,
+      "learning_rate": 2.5e-06,
+      "loss": -0.0038,
+      "num_tokens": 3761.0,
+      "reward": 0.4749999940395355,
+      "reward_std": 0.33040377497673035,
+      "rewards/reward_format_exact/mean": 0.15000000596046448,
+      "rewards/reward_format_exact/std": 0.10000000149011612,
+      "rewards/reward_wordle_strict/mean": 0.32499998807907104,
+      "rewards/reward_wordle_strict/std": 0.23629078269004822,
+      "step": 2
+    },
+    {
+      "clip_ratio/high_max": 0.007129006553441286,
+      "clip_ratio/high_mean": 0.007129006553441286,
+      "clip_ratio/low_mean": 0.0017241379246115685,
+      "clip_ratio/low_min": 0.0017241379246115685,
+      "clip_ratio/region_mean": 0.008853144478052855,
+      "completion_length": 165.0,
+      "completions/clipped_ratio": 0.0,
+      "completions/max_length": 191.0,
+      "completions/max_terminated_length": 191.0,
+      "completions/mean_length": 165.0,
+      "completions/mean_terminated_length": 165.0,
+      "completions/min_length": 135.0,
+      "completions/min_terminated_length": 135.0,
+      "epoch": 0.046875,
+      "frac_reward_zero_std": 0.0,
+      "grad_norm": 0.798210084438324,
+      "kl": 0.0028480338805820793,
+      "learning_rate": 5e-06,
+      "loss": 0.0031,
+      "num_tokens": 5537.0,
+      "reward": 0.574999988079071,
+      "reward_std": 0.3862210214138031,
+      "rewards/reward_format_exact/mean": 0.15000000596046448,
+      "rewards/reward_format_exact/std": 0.10000000149011612,
+      "rewards/reward_wordle_strict/mean": 0.42500001192092896,
+      "rewards/reward_wordle_strict/std": 0.28722813725471497,
+      "step": 3
+    },
+    {
+      "clip_ratio/high_max": 0.015614875126630068,
+      "clip_ratio/high_mean": 0.015614875126630068,
+      "clip_ratio/low_mean": 0.0,
+      "clip_ratio/low_min": 0.0,
+      "clip_ratio/region_mean": 0.015614875126630068,
+      "completion_length": 146.75,
+      "completions/clipped_ratio": 0.0,
+      "completions/max_length": 171.0,
+      "completions/max_terminated_length": 171.0,
+      "completions/mean_length": 146.75,
+      "completions/mean_terminated_length": 146.75,
+      "completions/min_length": 129.0,
+      "completions/min_terminated_length": 129.0,
+      "epoch": 0.0625,
+      "frac_reward_zero_std": 0.0,
+      "grad_norm": 3.240919589996338,
+      "kl": 0.004044662928208709,
+      "learning_rate": 4.722222222222222e-06,
+      "loss": 0.007,
+      "num_tokens": 7240.0,
+      "reward": 0.625,
+      "reward_std": 0.14999999105930328,
+      "rewards/reward_format_exact/mean": 0.20000000298023224,
+      "rewards/reward_format_exact/std": 0.0,
+      "rewards/reward_wordle_strict/mean": 0.42500001192092896,
+      "rewards/reward_wordle_strict/std": 0.14999999105930328,
+      "step": 4
+    },
+    {
+      "clip_ratio/high_max": 0.006869981065392494,
+      "clip_ratio/high_mean": 0.006869981065392494,
+      "clip_ratio/low_mean": 0.0,
+      "clip_ratio/low_min": 0.0,
+      "clip_ratio/region_mean": 0.006869981065392494,
+      "completion_length": 114.0,
+      "completions/clipped_ratio": 0.0,
+      "completions/max_length": 167.0,
+      "completions/max_terminated_length": 167.0,
+      "completions/mean_length": 114.0,
+      "completions/mean_terminated_length": 114.0,
+      "completions/min_length": 14.0,
+      "completions/min_terminated_length": 14.0,
+      "epoch": 0.078125,
+      "frac_reward_zero_std": 0.0,
+      "grad_norm": 2.196613311767578,
+      "kl": 0.02236501034349203,
+      "learning_rate": 4.444444444444444e-06,
+      "loss": 0.0044,
+      "num_tokens": 9048.0,
+      "reward": 0.574999988079071,
+      "reward_std": 0.07724422961473465,
+      "rewards/reward_format_exact/mean": 0.20000000298023224,
+      "rewards/reward_format_exact/std": 0.0,
+      "rewards/reward_wordle_strict/mean": 0.375,
+      "rewards/reward_wordle_strict/std": 0.07724420726299286,
+      "step": 5
+    },
+    {
+      "clip_ratio/high_max": 0.0,
+      "clip_ratio/high_mean": 0.0,
+      "clip_ratio/low_mean": 0.0,
+      "clip_ratio/low_min": 0.0,
+      "clip_ratio/region_mean": 0.0,
+      "completion_length": 28.0,
+      "completions/clipped_ratio": 0.0,
+      "completions/max_length": 76.0,
+      "completions/max_terminated_length": 76.0,
+      "completions/mean_length": 28.0,
+      "completions/mean_terminated_length": 28.0,
+      "completions/min_length": 12.0,
+      "completions/min_terminated_length": 12.0,
+      "epoch": 0.09375,
+      "frac_reward_zero_std": 0.0,
+      "grad_norm": 2.322465419769287,
+      "kl": 0.0025167656131088734,
+      "learning_rate": 4.166666666666667e-06,
+      "loss": 0.0047,
+      "num_tokens": 10516.0,
+      "reward": 0.5300000309944153,
+      "reward_std": 0.09309494495391846,
+      "rewards/reward_format_exact/mean": 0.20000000298023224,
+      "rewards/reward_format_exact/std": 0.0,
+      "rewards/reward_wordle_strict/mean": 0.32999998331069946,
+      "rewards/reward_wordle_strict/std": 0.09309493005275726,
+      "step": 6
+    },
+    {
+      "clip_ratio/high_max": 0.005102040711790323,
+      "clip_ratio/high_mean": 0.005102040711790323,
+      "clip_ratio/low_mean": 0.0,
+      "clip_ratio/low_min": 0.0,
+      "clip_ratio/region_mean": 0.005102040711790323,
+      "completion_length": 48.25,
+      "completions/clipped_ratio": 0.0,
+      "completions/max_length": 98.0,
+      "completions/max_terminated_length": 98.0,
+      "completions/mean_length": 48.25,
+      "completions/mean_terminated_length": 48.25,
+      "completions/min_length": 14.0,
+      "completions/min_terminated_length": 14.0,
+      "epoch": 0.109375,
+      "frac_reward_zero_std": 0.0,
+      "grad_norm": 1.5849889516830444,
+      "kl": 0.006263992341700941,
+      "learning_rate": 3.88888888888889e-06,
+      "loss": 0.0008,
+      "num_tokens": 12001.0,
+      "reward": 0.5625,
+      "reward_std": 0.07772816717624664,
+      "rewards/reward_format_exact/mean": 0.20000000298023224,
+      "rewards/reward_format_exact/std": 0.0,
+      "rewards/reward_wordle_strict/mean": 0.36250001192092896,
+      "rewards/reward_wordle_strict/std": 0.07772816717624664,
+      "step": 7
+    },
+    {
+      "clip_ratio/high_max": 0.010162601247429848,
+      "clip_ratio/high_mean": 0.010162601247429848,
+      "clip_ratio/low_mean": 0.0035108113661408424,
+      "clip_ratio/low_min": 0.0035108113661408424,
+      "clip_ratio/region_mean": 0.01367341261357069,
+      "completion_length": 139.5,
+      "completions/clipped_ratio": 0.0,
+      "completions/max_length": 187.0,
+      "completions/max_terminated_length": 187.0,
+      "completions/mean_length": 139.5,
+      "completions/mean_terminated_length": 139.5,
+      "completions/min_length": 115.0,
+      "completions/min_terminated_length": 115.0,
+      "epoch": 0.125,
+      "frac_reward_zero_std": 0.0,
+      "grad_norm": 0.9013361930847168,
+      "kl": 0.005270644964184612,
+      "learning_rate": 3.6111111111111115e-06,
+      "loss": -0.0038,
+      "num_tokens": 13915.0,
+      "reward": 0.5800000429153442,
+      "reward_std": 0.016329940408468246,
+      "rewards/reward_format_exact/mean": 0.20000000298023224,
+      "rewards/reward_format_exact/std": 0.0,
+      "rewards/reward_wordle_strict/mean": 0.3799999952316284,
+      "rewards/reward_wordle_strict/std": 0.01632992923259735,
+      "step": 8
+    },
+    {
+      "clip_ratio/high_max": 0.0,
+      "clip_ratio/high_mean": 0.0,
+      "clip_ratio/low_mean": 0.02067585662007332,
+      "clip_ratio/low_min": 0.02067585662007332,
+      "clip_ratio/region_mean": 0.02067585662007332,
+      "completion_length": 53.5,
+      "completions/clipped_ratio": 0.0,
+      "completions/max_length": 173.0,
+      "completions/max_terminated_length": 173.0,
+      "completions/mean_length": 53.5,
+      "completions/mean_terminated_length": 53.5,
+      "completions/min_length": 13.0,
+      "completions/min_terminated_length": 13.0,
+      "epoch": 0.140625,
+      "frac_reward_zero_std": 0.0,
+      "grad_norm": 4.016502857208252,
+      "kl": 0.056293758621905,
+      "learning_rate": 3.3333333333333333e-06,
+      "loss": 0.0161,
+      "num_tokens": 15297.0,
+      "reward": 0.6624999642372131,
+      "reward_std": 0.04787134379148483,
+      "rewards/reward_format_exact/mean": 0.20000000298023224,
+      "rewards/reward_format_exact/std": 0.0,
+      "rewards/reward_wordle_strict/mean": 0.4624999761581421,
+      "rewards/reward_wordle_strict/std": 0.04787135869264603,
+      "step": 9
+    },
+    {
+      "clip_ratio/high_max": 0.009575471747666597,
+      "clip_ratio/high_mean": 0.009575471747666597,
+      "clip_ratio/low_mean": 0.0,
+      "clip_ratio/low_min": 0.0,
+      "clip_ratio/region_mean": 0.009575471747666597,
+      "completion_length": 93.25,
+      "completions/clipped_ratio": 0.0,
+      "completions/max_length": 109.0,
+      "completions/max_terminated_length": 109.0,
+      "completions/mean_length": 93.25,
+      "completions/mean_terminated_length": 93.25,
+      "completions/min_length": 58.0,
+      "completions/min_terminated_length": 58.0,
+      "epoch": 0.15625,
+      "frac_reward_zero_std": 0.0,
+      "grad_norm": 1.1781458854675293,
+      "kl": 0.0033396847429685295,
+      "learning_rate": 3.055555555555556e-06,
+      "loss": -0.0001,
+      "num_tokens": 16786.0,
+      "reward": 0.5750000476837158,
+      "reward_std": 0.09574271738529205,
+      "rewards/reward_format_exact/mean": 0.20000000298023224,
+      "rewards/reward_format_exact/std": 0.0,
+      "rewards/reward_wordle_strict/mean": 0.375,
+      "rewards/reward_wordle_strict/std": 0.09574270248413086,
+      "step": 10
+    }
+  ],
+  "logging_steps": 1,
+  "max_steps": 20,
+  "num_input_tokens_seen": 16786,
+  "num_train_epochs": 1,
+  "save_steps": 10,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": false
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 0.0,
+  "train_batch_size": 1,
+  "trial_name": null,
+  "trial_params": null
+}

last-checkpoint/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:97b9ebd429a3452d4eb8a90127debf802b054906308e9a4a5feec63ca871d3ad
+size 7697