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Model: xiaolesu/OsmosisProofling-SFT-NT-GRPO-NT-V2 Source: Original Platform
2026-05-10 22:25:42 +08:00
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--- a/README.md
+++ b/README.md
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+---
+library_name: transformers
+license: apache-2.0
+base_model: Qwen/Qwen3-8B
+tags:
+- generated_from_trainer
+datasets:
+- xiaolesu/OsmosisProofling-SFT
+model-index:
+- name: outputs/OsmosisProofling-SFT/
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+[<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
+<details><summary>See axolotl config</summary>
+
+axolotl version: `0.16.0.dev0`
+```yaml
+base_model: Qwen/Qwen3-8B
+
+load_in_8bit: false
+load_in_4bit: false
+strict: false
+
+plugins:
+  - axolotl.integrations.liger.LigerPlugin
+
+liger_rope: true
+liger_rms_norm: true
+liger_glu_activation: true
+liger_layer_norm: true
+liger_fused_linear_cross_entropy: true
+
+chat_template: qwen3
+
+chat_template_kwargs:
+  enable_thinking: false
+
+datasets:
+  - path: xiaolesu/OsmosisProofling-SFT
+    type: alpaca
+    split: train
+
+test_datasets:
+  - path: xiaolesu/OsmosisProofling-SFT
+    type: alpaca
+    split: validation
+
+output_dir: ./outputs/OsmosisProofling-SFT/
+
+sequence_len: 4096
+sample_packing: true
+flex_attention: true
+
+flex_attn_compile_kwargs:
+  dynamic: false
+  mode: max-autotune-no-cudagraphs
+
+wandb_project: OsmosisProofling-SFT
+wandb_entity:
+wandb_watch:
+wandb_name: OsmosisProofling-SFT-Run1
+wandb_log_model:
+
+gradient_accumulation_steps: 1
+micro_batch_size: 2
+num_epochs: 2
+optimizer: adamw_torch_fused
+lr_scheduler: cosine
+learning_rate: 1e-5
+
+bf16: true
+tf32: true
+
+resume_from_checkpoint:
+logging_steps: 5
+
+evals_per_epoch: 10
+saves_per_epoch: 10
+save_total_limit: 3
+
+warmup_ratio: 0.1
+weight_decay: 0.0
+fsdp:
+  - full_shard
+  - auto_wrap
+
+fsdp_config:
+  fsdp_version: 2
+  fsdp_offload_params: false
+  fsdp_cpu_ram_efficient_loading: true
+  fsdp_auto_wrap_policy: TRANSFORMER_BASED_WRAP
+  fsdp_transformer_layer_cls_to_wrap: Qwen3DecoderLayer
+  fsdp_state_dict_type: FULL_STATE_DICT
+  fsdp_sharding_strategy: FULL_SHARD
+  fsdp_reshard_after_forward: true
+  fsdp_activation_checkpointing: true
+
+special_tokens:
+
+```
+
+</details><br>
+
+# outputs/OsmosisProofling-SFT/
+
+This model is a fine-tuned version of [Qwen/Qwen3-8B](https://huggingface.co/Qwen/Qwen3-8B) on the xiaolesu/OsmosisProofling-SFT dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3543
+- Ppl: 1.4252
+- Memory/max Active (gib): 20.98
+- Memory/max Allocated (gib): 20.98
+- Memory/device Reserved (gib): 36.0
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 1e-05
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 7
+- total_train_batch_size: 14
+- total_eval_batch_size: 14
+- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 21
+- training_steps: 212
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Ppl    | Active (gib) | Allocated (gib) | Reserved (gib) |
+|:-------------:|:------:|:----:|:---------------:|:------:|:------------:|:---------------:|:--------------:|
+| No log        | 0      | 0    | 1.3417          | 3.8257 | 16.56        | 16.56           | 20.27          |
+| 1.2425        | 0.1048 | 11   | 0.9643          | 2.6231 | 20.98        | 20.98           | 36.1           |
+| 0.7372        | 0.2095 | 22   | 0.5572          | 1.7458 | 20.98        | 20.98           | 36.0           |
+| 0.5042        | 0.3143 | 33   | 0.4529          | 1.5728 | 20.98        | 20.98           | 36.0           |
+| 0.4350        | 0.4190 | 44   | 0.4158          | 1.5155 | 20.98        | 20.98           | 36.0           |
+| 0.3719        | 0.5238 | 55   | 0.3908          | 1.4782 | 20.98        | 20.98           | 36.0           |
+| 0.3934        | 0.6286 | 66   | 0.3780          | 1.4594 | 20.98        | 20.98           | 36.0           |
+| 0.3594        | 0.7333 | 77   | 0.3696          | 1.4471 | 20.98        | 20.98           | 36.0           |
+| 0.3513        | 0.8381 | 88   | 0.3645          | 1.4398 | 20.98        | 20.98           | 36.0           |
+| 0.3499        | 0.9429 | 99   | 0.3616          | 1.4356 | 20.98        | 20.98           | 36.0           |
+| 0.3517        | 1.0476 | 110  | 0.3583          | 1.4309 | 20.98        | 20.98           | 36.0           |
+| 0.3422        | 1.1524 | 121  | 0.3567          | 1.4286 | 20.98        | 20.98           | 36.0           |
+| 0.3219        | 1.2571 | 132  | 0.3557          | 1.4272 | 20.98        | 20.98           | 36.0           |
+| 0.3098        | 1.3619 | 143  | 0.3552          | 1.4264 | 20.98        | 20.98           | 36.0           |
+| 0.3068        | 1.4667 | 154  | 0.3546          | 1.4257 | 20.98        | 20.98           | 36.0           |
+| 0.3168        | 1.5714 | 165  | 0.3545          | 1.4254 | 20.98        | 20.98           | 36.0           |
+| 0.3198        | 1.6762 | 176  | 0.3546          | 1.4256 | 20.98        | 20.98           | 36.0           |
+| 0.3207        | 1.7810 | 187  | 0.3544          | 1.4253 | 20.98        | 20.98           | 36.0           |
+| 0.3232        | 1.8857 | 198  | 0.3541          | 1.4249 | 20.98        | 20.98           | 36.0           |
+| 0.3441        | 1.9905 | 209  | 0.3543          | 1.4252 | 20.98        | 20.98           | 36.0           |
+
+
+### Framework versions
+
+- Transformers 5.3.0
+- Pytorch 2.9.1+cu128
+- Datasets 4.5.0
+- Tokenizers 0.22.2
--- a/chat_template.jinja
+++ b/chat_template.jinja
@@ -0,0 +1,93 @@
+{%- 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) %}
+{#- Determine the real last index: use provided value or default to messages length - 1 #}
+{%- if real_last_index is defined and real_last_index is not none %}
+    {%- set ns.real_last_index = real_last_index %}
+{%- else %}
+    {%- set ns.real_last_index = messages|length - 1 %}
+{%- endif %}
+{%- for message in messages[::-1] %}
+    {%- set index = (messages|length - 1) - loop.index0 %}
+    {%- if ns.multi_step_tool and message.role == "user" and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}
+        {%- 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>')[-1].lstrip('\n') %}
+                {%- set reasoning_content = message.content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
+            {%- endif %}
+        {%- endif %}
+        {%- if loop.index0 > ns.last_query_index %}
+            {%- if loop.index0 == ns.real_last_index or (loop.index0 != ns.real_last_index 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' }}
+    {%- else %}
+        {{- '<think>\n\n' }}
+    {%- endif %}
+{%- endif %}
--- a/config.json
+++ b/config.json
@@ -0,0 +1,69 @@
+{
+  "architectures": [
+    "Qwen3ForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": null,
+  "dtype": "bfloat16",
+  "eos_token_id": 151645,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 12288,
+  "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",
+    "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": 40960,
+  "max_window_layers": 36,
+  "model_type": "qwen3",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 36,
+  "num_key_value_heads": 8,
+  "pad_token_id": 151643,
+  "rms_norm_eps": 1e-06,
+  "rope_theta": 1000000,
+  "rope_scaling": null,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "transformers_version": "5.3.0",
+  "use_cache": false,
+  "use_sliding_window": false,
+  "vocab_size": 151936
+}
--- a/generation_config.json
+++ b/generation_config.json
@@ -0,0 +1,12 @@
+{
+  "do_sample": true,
+  "eos_token_id": [
+    151645,
+    151643
+  ],
+  "pad_token_id": 151643,
+  "temperature": 0.6,
+  "top_k": 20,
+  "top_p": 0.95,
+  "transformers_version": "5.3.0"
+}
--- a/model.safetensors
+++ b/model.safetensors
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0b340bab70abc2bf26fc22f4ea53c5cc1229468b1de76009d311412048cfb2a7
+size 16381517208
--- a/tokenizer.json
+++ b/tokenizer.json
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:be75606093db2094d7cd20f3c2f385c212750648bd6ea4fb2bf507a6a4c55506
+size 11422650
--- a/tokenizer_config.json
+++ b/tokenizer_config.json
@@ -0,0 +1,29 @@
+{
+  "add_prefix_space": false,
+  "backend": "tokenizers",
+  "bos_token": null,
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
+  "extra_special_tokens": {
+    "<|im_start|>": "<|im_start|>",
+    "<|im_end|>": "<|im_end|>",
+    "<|object_ref_start|>": "<|object_ref_start|>",
+    "<|object_ref_end|>": "<|object_ref_end|>",
+    "<|box_start|>": "<|box_start|>",
+    "<|box_end|>": "<|box_end|>",
+    "<|quad_start|>": "<|quad_start|>",
+    "<|quad_end|>": "<|quad_end|>",
+    "<|vision_start|>": "<|vision_start|>",
+    "<|vision_end|>": "<|vision_end|>",
+    "<|vision_pad|>": "<|vision_pad|>",
+    "<|image_pad|>": "<|image_pad|>",
+    "<|video_pad|>": "<|video_pad|>"
+  },
+  "is_local": false,
+  "model_max_length": 131072,
+  "pad_token": "<|endoftext|>",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}