Upload folder using huggingface_hub

.gitattributes

@@ -33,3 +33,7 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+checkpoint-1000/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+checkpoint-1086/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+checkpoint-500/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,62 @@
+---
+library_name: peft
+license: other
+base_model: deepseek-ai/DeepSeek-R1-Distill-Qwen-32B
+tags:
+- llama-factory
+- lora
+- generated_from_trainer
+model-index:
+- name: DeepSeek-R1-Distill-Qwen-32B
+  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. -->
+
+# DeepSeek-R1-Distill-Qwen-32B
+
+This model is a fine-tuned version of [deepseek-ai/DeepSeek-R1-Distill-Qwen-32B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-32B) on the alpaca_thinking dataset.
+
+## 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: 0.0001
+- train_batch_size: 1
+- eval_batch_size: 8
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 4
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 32
+- total_eval_batch_size: 32
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 3.0
+
+### Training results
+
+
+
+### Framework versions
+
+- PEFT 0.12.0
+- Transformers 4.49.0
+- Pytorch 2.5.1+cu124
+- Datasets 3.2.0
+- Tokenizers 0.21.0

adapter_config.json

@@ -0,0 +1,34 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "deepseek-ai/DeepSeek-R1-Distill-Qwen-32B",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": "pissa_niter_16",
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_dropout": 0.0,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "k_proj",
+    "down_proj",
+    "up_proj",
+    "gate_proj",
+    "o_proj",
+    "q_proj",
+    "v_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7d2b60858f8196e9c42a81145ebed482335b25f140656f334689c5cd28feb329
+size 268555264

all_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 2.9937888198757765,
+    "total_flos": 6.17252944434797e+18,
+    "train_loss": 0.3891050570797086,
+    "train_runtime": 6764.7829,
+    "train_samples_per_second": 5.14,
+    "train_steps_per_second": 0.161
+}

checkpoint-1000/README.md

@@ -0,0 +1,202 @@
+---
+base_model: deepseek-ai/DeepSeek-R1-Distill-Qwen-32B
+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 0.12.0

checkpoint-1000/adapter_config.json

@@ -0,0 +1,34 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "deepseek-ai/DeepSeek-R1-Distill-Qwen-32B",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": "pissa_niter_16",
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_dropout": 0.0,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "k_proj",
+    "down_proj",
+    "up_proj",
+    "gate_proj",
+    "o_proj",
+    "q_proj",
+    "v_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

checkpoint-1000/adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1e2f0472d2f83d4810a9f24f4b41cb5e2509fd4645e31a85981bfa3ddc9ac9e6
+size 268555264

checkpoint-1000/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:858a7d2c7117fc10a925bae6ddadff03e49c6742e566c172c0005a2591dd963b
+size 537626770

checkpoint-1000/rng_state_0.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:308f94f9a5c24e1bad5c393d56ae7af7782600f4e791d9c6ac35b22fff2105b6
+size 15024

checkpoint-1000/rng_state_1.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b056f3c23cb32dc77a2ec9e7651e0b64e4440e21f0fdf969b86bfc56a1cbdf06
+size 15024

checkpoint-1000/rng_state_2.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f3f8a05714bc528f4885a2816181652f2303b3e8150f89b56aaee6bec56aa520
+size 15024

checkpoint-1000/rng_state_3.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4f755bd3c330281961e5c03af9d10ce8c1e1678619d384f6f1fd5fd7dce2ff50
+size 15024

checkpoint-1000/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f2602cbf6571d5d825f6bf2d7375d253f1e29c737b5ba79bcc221ad05bf6a6b4
+size 1064

checkpoint-1000/special_tokens_map.json

@@ -0,0 +1,23 @@
+{
+  "bos_token": {
+    "content": "<｜begin▁of▁sentence｜>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "<｜end▁of▁sentence｜>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<｜end▁of▁sentence｜>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

checkpoint-1000/tokenizer.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e20ddafc659ba90242154b55275402edeca0715e5dbb30f56815a4ce081f4893
+size 11422778

checkpoint-1000/tokenizer_config.json

@@ -0,0 +1,197 @@
+{
+  "add_bos_token": true,
+  "add_eos_token": false,
+  "add_prefix_space": null,
+  "added_tokens_decoder": {
+    "151643": {
+      "content": "<｜end▁of▁sentence｜>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151644": {
+      "content": "<｜User｜>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151645": {
+      "content": "<｜Assistant｜>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151646": {
+      "content": "<｜begin▁of▁sentence｜>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151647": {
+      "content": "<|EOT|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151648": {
+      "content": "<think>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151649": {
+      "content": "</think>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "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
+    }
+  },
+  "bos_token": "<｜begin▁of▁sentence｜>",
+  "chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set ns = namespace(is_first=false, is_tool=false, is_output_first=true, system_prompt='') %}{%- for message in messages %}{%- if message['role'] == 'system' %}{% set ns.system_prompt = message['content'] %}{%- endif %}{%- endfor %}{{bos_token}}{{ns.system_prompt}}{%- for message in messages %}{%- if message['role'] == 'user' %}{%- set ns.is_tool = false -%}{{'<｜User｜>' + message['content']}}{%- endif %}{%- if message['role'] == 'assistant' and message['content'] is none %}{%- set ns.is_tool = false -%}{%- for tool in message['tool_calls']%}{%- if not ns.is_first %}{{'<｜Assistant｜><｜tool▁calls▁begin｜><｜tool▁call▁begin��>' + tool['type'] + '<｜tool▁sep｜>' + tool['function']['name'] + '\\n' + '```json' + '\\n' + tool['function']['arguments'] + '\\n' + '```' + '<｜tool▁call▁end｜>'}}{%- set ns.is_first = true -%}{%- else %}{{'\\n' + '<｜tool▁call▁begin｜>' + tool['type'] + '<｜tool▁sep｜>' + tool['function']['name'] + '\\n' + '```json' + '\\n' + tool['function']['arguments'] + '\\n' + '```' + '<｜tool▁call▁end｜>'}}{{'<｜tool▁calls▁end｜><｜end▁of▁sentence｜>'}}{%- endif %}{%- endfor %}{%- endif %}{%- if message['role'] == 'assistant' and message['content'] is not none %}{%- if ns.is_tool %}{{'<｜tool▁outputs▁end｜>' + message['content'] + '<｜end▁of▁sentence｜>'}}{%- set ns.is_tool = false -%}{%- else %}{% set content = message['content'] %}{% if '</think>' in content %}{% set content = content.split('</think>')[-1] %}{% endif %}{{'<｜Assistant｜>' + content + '<｜end▁of▁sentence｜>'}}{%- endif %}{%- endif %}{%- if message['role'] == 'tool' %}{%- set ns.is_tool = true -%}{%- if ns.is_output_first %}{{'<｜tool▁outputs▁begin｜><｜tool▁output▁begin｜>' + message['content'] + '<｜tool▁output▁end｜>'}}{%- set ns.is_output_first = false %}{%- else %}{{'\\n<｜tool▁output▁begin｜>' + message['content'] + '<｜tool▁output▁end｜>'}}{%- endif %}{%- endif %}{%- endfor -%}{% if ns.is_tool %}{{'<｜tool▁outputs▁end｜>'}}{% endif %}{% if add_generation_prompt and not ns.is_tool %}{{'<｜Assistant｜><think>\\n'}}{% endif %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<｜end▁of▁sentence｜>",
+  "extra_special_tokens": {},
+  "legacy": true,
+  "model_max_length": 2048,
+  "pad_token": "<｜end▁of▁sentence｜>",
+  "padding_side": "right",
+  "sp_model_kwargs": {},
+  "split_special_tokens": false,
+  "tokenizer_class": "LlamaTokenizerFast",
+  "unk_token": null,
+  "use_default_system_prompt": false
+}

checkpoint-1000/trainer_state.json

@@ -0,0 +1,733 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 2.756383712905452,
+  "eval_steps": 500,
+  "global_step": 1000,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.027605244996549344,
+      "grad_norm": 1.6335422992706299,
+      "learning_rate": 9.174311926605506e-06,
+      "loss": 0.8102,
+      "step": 10
+    },
+    {
+      "epoch": 0.05521048999309869,
+      "grad_norm": 0.8111785054206848,
+      "learning_rate": 1.834862385321101e-05,
+      "loss": 0.6999,
+      "step": 20
+    },
+    {
+      "epoch": 0.08281573498964803,
+      "grad_norm": 0.4619831144809723,
+      "learning_rate": 2.7522935779816515e-05,
+      "loss": 0.5682,
+      "step": 30
+    },
+    {
+      "epoch": 0.11042097998619738,
+      "grad_norm": 0.4434720575809479,
+      "learning_rate": 3.669724770642202e-05,
+      "loss": 0.5232,
+      "step": 40
+    },
+    {
+      "epoch": 0.13802622498274672,
+      "grad_norm": 0.44054797291755676,
+      "learning_rate": 4.587155963302753e-05,
+      "loss": 0.5084,
+      "step": 50
+    },
+    {
+      "epoch": 0.16563146997929606,
+      "grad_norm": 0.42256447672843933,
+      "learning_rate": 5.504587155963303e-05,
+      "loss": 0.477,
+      "step": 60
+    },
+    {
+      "epoch": 0.1932367149758454,
+      "grad_norm": 0.4349405765533447,
+      "learning_rate": 6.422018348623854e-05,
+      "loss": 0.4841,
+      "step": 70
+    },
+    {
+      "epoch": 0.22084195997239475,
+      "grad_norm": 0.4515930712223053,
+      "learning_rate": 7.339449541284404e-05,
+      "loss": 0.4704,
+      "step": 80
+    },
+    {
+      "epoch": 0.2484472049689441,
+      "grad_norm": 0.45412737131118774,
+      "learning_rate": 8.256880733944955e-05,
+      "loss": 0.4718,
+      "step": 90
+    },
+    {
+      "epoch": 0.27605244996549344,
+      "grad_norm": 0.49010995030403137,
+      "learning_rate": 9.174311926605506e-05,
+      "loss": 0.4496,
+      "step": 100
+    },
+    {
+      "epoch": 0.3036576949620428,
+      "grad_norm": 0.4931396245956421,
+      "learning_rate": 9.999974150612772e-05,
+      "loss": 0.4524,
+      "step": 110
+    },
+    {
+      "epoch": 0.33126293995859213,
+      "grad_norm": 1.1270735263824463,
+      "learning_rate": 9.996872547536591e-05,
+      "loss": 0.4503,
+      "step": 120
+    },
+    {
+      "epoch": 0.3588681849551415,
+      "grad_norm": 0.48991507291793823,
+      "learning_rate": 9.988604741439287e-05,
+      "loss": 0.4399,
+      "step": 130
+    },
+    {
+      "epoch": 0.3864734299516908,
+      "grad_norm": 0.45801088213920593,
+      "learning_rate": 9.975179280300506e-05,
+      "loss": 0.4524,
+      "step": 140
+    },
+    {
+      "epoch": 0.4140786749482402,
+      "grad_norm": 0.420897901058197,
+      "learning_rate": 9.956610044533896e-05,
+      "loss": 0.4281,
+      "step": 150
+    },
+    {
+      "epoch": 0.4416839199447895,
+      "grad_norm": 0.4336962103843689,
+      "learning_rate": 9.932916232636318e-05,
+      "loss": 0.4305,
+      "step": 160
+    },
+    {
+      "epoch": 0.4692891649413389,
+      "grad_norm": 0.44120800495147705,
+      "learning_rate": 9.904122341338765e-05,
+      "loss": 0.4208,
+      "step": 170
+    },
+    {
+      "epoch": 0.4968944099378882,
+      "grad_norm": 0.9154078364372253,
+      "learning_rate": 9.870258140279503e-05,
+      "loss": 0.4436,
+      "step": 180
+    },
+    {
+      "epoch": 0.5244996549344375,
+      "grad_norm": 0.4551916718482971,
+      "learning_rate": 9.831358641225624e-05,
+      "loss": 0.4288,
+      "step": 190
+    },
+    {
+      "epoch": 0.5521048999309869,
+      "grad_norm": 0.4513665437698364,
+      "learning_rate": 9.787464061874825e-05,
+      "loss": 0.4384,
+      "step": 200
+    },
+    {
+      "epoch": 0.5797101449275363,
+      "grad_norm": 0.43779632449150085,
+      "learning_rate": 9.738619784274833e-05,
+      "loss": 0.4178,
+      "step": 210
+    },
+    {
+      "epoch": 0.6073153899240856,
+      "grad_norm": 0.4170076847076416,
+      "learning_rate": 9.684876307903494e-05,
+      "loss": 0.42,
+      "step": 220
+    },
+    {
+      "epoch": 0.6349206349206349,
+      "grad_norm": 0.4370488226413727,
+      "learning_rate": 9.626289197457994e-05,
+      "loss": 0.4296,
+      "step": 230
+    },
+    {
+      "epoch": 0.6625258799171843,
+      "grad_norm": 0.42547333240509033,
+      "learning_rate": 9.562919025407236e-05,
+      "loss": 0.4264,
+      "step": 240
+    },
+    {
+      "epoch": 0.6901311249137336,
+      "grad_norm": 0.4317057430744171,
+      "learning_rate": 9.494831309366723e-05,
+      "loss": 0.4052,
+      "step": 250
+    },
+    {
+      "epoch": 0.717736369910283,
+      "grad_norm": 0.40589675307273865,
+      "learning_rate": 9.422096444360735e-05,
+      "loss": 0.41,
+      "step": 260
+    },
+    {
+      "epoch": 0.7453416149068323,
+      "grad_norm": 0.44671744108200073,
+      "learning_rate": 9.34478963004181e-05,
+      "loss": 0.4162,
+      "step": 270
+    },
+    {
+      "epoch": 0.7729468599033816,
+      "grad_norm": 0.41162508726119995,
+      "learning_rate": 9.262990792942768e-05,
+      "loss": 0.4183,
+      "step": 280
+    },
+    {
+      "epoch": 0.800552104899931,
+      "grad_norm": 0.483149915933609,
+      "learning_rate": 9.176784503841697e-05,
+      "loss": 0.4174,
+      "step": 290
+    },
+    {
+      "epoch": 0.8281573498964804,
+      "grad_norm": 0.4605332612991333,
+      "learning_rate": 9.086259890325297e-05,
+      "loss": 0.4191,
+      "step": 300
+    },
+    {
+      "epoch": 0.8557625948930296,
+      "grad_norm": 0.4153307378292084,
+      "learning_rate": 8.991510544640991e-05,
+      "loss": 0.4253,
+      "step": 310
+    },
+    {
+      "epoch": 0.883367839889579,
+      "grad_norm": 0.43806084990501404,
+      "learning_rate": 8.892634426933106e-05,
+      "loss": 0.4265,
+      "step": 320
+    },
+    {
+      "epoch": 0.9109730848861284,
+      "grad_norm": 0.45412200689315796,
+      "learning_rate": 8.78973376396311e-05,
+      "loss": 0.4365,
+      "step": 330
+    },
+    {
+      "epoch": 0.9385783298826778,
+      "grad_norm": 0.3769752085208893,
+      "learning_rate": 8.682914943418676e-05,
+      "loss": 0.4058,
+      "step": 340
+    },
+    {
+      "epoch": 0.966183574879227,
+      "grad_norm": 0.4275883436203003,
+      "learning_rate": 8.572288403920792e-05,
+      "loss": 0.4078,
+      "step": 350
+    },
+    {
+      "epoch": 0.9937888198757764,
+      "grad_norm": 0.43371307849884033,
+      "learning_rate": 8.45796852084268e-05,
+      "loss": 0.4063,
+      "step": 360
+    },
+    {
+      "epoch": 1.0193236714975846,
+      "grad_norm": 0.4527032673358917,
+      "learning_rate": 8.340073488058552e-05,
+      "loss": 0.3742,
+      "step": 370
+    },
+    {
+      "epoch": 1.0469289164941338,
+      "grad_norm": 0.5205631256103516,
+      "learning_rate": 8.218725195744463e-05,
+      "loss": 0.3809,
+      "step": 380
+    },
+    {
+      "epoch": 1.0745341614906831,
+      "grad_norm": 0.4031950533390045,
+      "learning_rate": 8.094049104357609e-05,
+      "loss": 0.3823,
+      "step": 390
+    },
+    {
+      "epoch": 1.1021394064872325,
+      "grad_norm": 0.41949087381362915,
+      "learning_rate": 7.966174114924351e-05,
+      "loss": 0.3765,
+      "step": 400
+    },
+    {
+      "epoch": 1.129744651483782,
+      "grad_norm": 0.43814027309417725,
+      "learning_rate": 7.83523243577109e-05,
+      "loss": 0.3751,
+      "step": 410
+    },
+    {
+      "epoch": 1.1573498964803313,
+      "grad_norm": 0.4457204341888428,
+      "learning_rate": 7.70135944583575e-05,
+      "loss": 0.3869,
+      "step": 420
+    },
+    {
+      "epoch": 1.1849551414768806,
+      "grad_norm": 0.41421836614608765,
+      "learning_rate": 7.56469355470122e-05,
+      "loss": 0.3634,
+      "step": 430
+    },
+    {
+      "epoch": 1.21256038647343,
+      "grad_norm": 0.4416670799255371,
+      "learning_rate": 7.425376059495442e-05,
+      "loss": 0.3768,
+      "step": 440
+    },
+    {
+      "epoch": 1.2401656314699794,
+      "grad_norm": 0.44710710644721985,
+      "learning_rate": 7.283550998806108e-05,
+      "loss": 0.3669,
+      "step": 450
+    },
+    {
+      "epoch": 1.2677708764665288,
+      "grad_norm": 0.39852890372276306,
+      "learning_rate": 7.139365003760999e-05,
+      "loss": 0.3824,
+      "step": 460
+    },
+    {
+      "epoch": 1.295376121463078,
+      "grad_norm": 0.4412725269794464,
+      "learning_rate": 6.992967146427913e-05,
+      "loss": 0.3646,
+      "step": 470
+    },
+    {
+      "epoch": 1.3229813664596273,
+      "grad_norm": 0.41978228092193604,
+      "learning_rate": 6.844508785690964e-05,
+      "loss": 0.3755,
+      "step": 480
+    },
+    {
+      "epoch": 1.3505866114561766,
+      "grad_norm": 0.4214731752872467,
+      "learning_rate": 6.694143410762542e-05,
+      "loss": 0.3841,
+      "step": 490
+    },
+    {
+      "epoch": 1.378191856452726,
+      "grad_norm": 0.4128514230251312,
+      "learning_rate": 6.54202648249278e-05,
+      "loss": 0.3839,
+      "step": 500
+    },
+    {
+      "epoch": 1.4057971014492754,
+      "grad_norm": 0.3899001181125641,
+      "learning_rate": 6.388315272640544e-05,
+      "loss": 0.3726,
+      "step": 510
+    },
+    {
+      "epoch": 1.4334023464458248,
+      "grad_norm": 0.4347754120826721,
+      "learning_rate": 6.233168701272167e-05,
+      "loss": 0.3722,
+      "step": 520
+    },
+    {
+      "epoch": 1.4610075914423741,
+      "grad_norm": 0.3798378109931946,
+      "learning_rate": 6.076747172456015e-05,
+      "loss": 0.3623,
+      "step": 530
+    },
+    {
+      "epoch": 1.4886128364389233,
+      "grad_norm": 0.3879692256450653,
+      "learning_rate": 5.919212408422753e-05,
+      "loss": 0.3684,
+      "step": 540
+    },
+    {
+      "epoch": 1.5162180814354729,
+      "grad_norm": 0.4210754930973053,
+      "learning_rate": 5.76072728236279e-05,
+      "loss": 0.3674,
+      "step": 550
+    },
+    {
+      "epoch": 1.543823326432022,
+      "grad_norm": 0.4184245467185974,
+      "learning_rate": 5.6014556500337534e-05,
+      "loss": 0.3602,
+      "step": 560
+    },
+    {
+      "epoch": 1.5714285714285714,
+      "grad_norm": 0.43027910590171814,
+      "learning_rate": 5.44156218035211e-05,
+      "loss": 0.3872,
+      "step": 570
+    },
+    {
+      "epoch": 1.5990338164251208,
+      "grad_norm": 0.38721945881843567,
+      "learning_rate": 5.28121218514406e-05,
+      "loss": 0.3678,
+      "step": 580
+    },
+    {
+      "epoch": 1.6266390614216701,
+      "grad_norm": 0.4199799597263336,
+      "learning_rate": 5.1205714482317455e-05,
+      "loss": 0.3652,
+      "step": 590
+    },
+    {
+      "epoch": 1.6542443064182195,
+      "grad_norm": 0.40728333592414856,
+      "learning_rate": 4.95980605403146e-05,
+      "loss": 0.3786,
+      "step": 600
+    },
+    {
+      "epoch": 1.6818495514147687,
+      "grad_norm": 0.41107377409935,
+      "learning_rate": 4.79908221584108e-05,
+      "loss": 0.3715,
+      "step": 610
+    },
+    {
+      "epoch": 1.7094547964113183,
+      "grad_norm": 0.45491889119148254,
+      "learning_rate": 4.638566103994258e-05,
+      "loss": 0.386,
+      "step": 620
+    },
+    {
+      "epoch": 1.7370600414078674,
+      "grad_norm": 0.4167945683002472,
+      "learning_rate": 4.478423674059015e-05,
+      "loss": 0.3723,
+      "step": 630
+    },
+    {
+      "epoch": 1.764665286404417,
+      "grad_norm": 0.4188650846481323,
+      "learning_rate": 4.318820495258396e-05,
+      "loss": 0.3794,
+      "step": 640
+    },
+    {
+      "epoch": 1.7922705314009661,
+      "grad_norm": 0.45200666785240173,
+      "learning_rate": 4.159921579290546e-05,
+      "loss": 0.3641,
+      "step": 650
+    },
+    {
+      "epoch": 1.8198757763975155,
+      "grad_norm": 0.42524534463882446,
+      "learning_rate": 4.0018912097252234e-05,
+      "loss": 0.3727,
+      "step": 660
+    },
+    {
+      "epoch": 1.847481021394065,
+      "grad_norm": 0.4238753318786621,
+      "learning_rate": 3.8448927721530967e-05,
+      "loss": 0.3666,
+      "step": 670
+    },
+    {
+      "epoch": 1.8750862663906143,
+      "grad_norm": 0.3949458599090576,
+      "learning_rate": 3.6890885852634635e-05,
+      "loss": 0.3707,
+      "step": 680
+    },
+    {
+      "epoch": 1.9026915113871636,
+      "grad_norm": 0.4040445387363434,
+      "learning_rate": 3.534639733025017e-05,
+      "loss": 0.3793,
+      "step": 690
+    },
+    {
+      "epoch": 1.9302967563837128,
+      "grad_norm": 0.42878955602645874,
+      "learning_rate": 3.3817058981431784e-05,
+      "loss": 0.3623,
+      "step": 700
+    },
+    {
+      "epoch": 1.9579020013802624,
+      "grad_norm": 0.42626291513442993,
+      "learning_rate": 3.230445196966181e-05,
+      "loss": 0.3564,
+      "step": 710
+    },
+    {
+      "epoch": 1.9855072463768115,
+      "grad_norm": 0.43052035570144653,
+      "learning_rate": 3.081014016010584e-05,
+      "loss": 0.3681,
+      "step": 720
+    },
+    {
+      "epoch": 2.0110420979986197,
+      "grad_norm": 0.4627828896045685,
+      "learning_rate": 2.9335668502752394e-05,
+      "loss": 0.359,
+      "step": 730
+    },
+    {
+      "epoch": 2.0386473429951693,
+      "grad_norm": 0.45345333218574524,
+      "learning_rate": 2.7882561435108824e-05,
+      "loss": 0.3189,
+      "step": 740
+    },
+    {
+      "epoch": 2.0662525879917184,
+      "grad_norm": 0.40497517585754395,
+      "learning_rate": 2.6452321306104634e-05,
+      "loss": 0.3409,
+      "step": 750
+    },
+    {
+      "epoch": 2.0938578329882676,
+      "grad_norm": 0.4666087329387665,
+      "learning_rate": 2.5046426822832175e-05,
+      "loss": 0.3354,
+      "step": 760
+    },
+    {
+      "epoch": 2.121463077984817,
+      "grad_norm": 0.38220757246017456,
+      "learning_rate": 2.3666331521730024e-05,
+      "loss": 0.3366,
+      "step": 770
+    },
+    {
+      "epoch": 2.1490683229813663,
+      "grad_norm": 0.4605223536491394,
+      "learning_rate": 2.2313462265790196e-05,
+      "loss": 0.3231,
+      "step": 780
+    },
+    {
+      "epoch": 2.176673567977916,
+      "grad_norm": 0.558403730392456,
+      "learning_rate": 2.098921776934269e-05,
+      "loss": 0.3333,
+      "step": 790
+    },
+    {
+      "epoch": 2.204278812974465,
+      "grad_norm": 0.45217105746269226,
+      "learning_rate": 1.96949671519424e-05,
+      "loss": 0.3401,
+      "step": 800
+    },
+    {
+      "epoch": 2.2318840579710146,
+      "grad_norm": 0.4413389563560486,
+      "learning_rate": 1.843204852285389e-05,
+      "loss": 0.3453,
+      "step": 810
+    },
+    {
+      "epoch": 2.259489302967564,
+      "grad_norm": 0.3977566063404083,
+      "learning_rate": 1.7201767597597196e-05,
+      "loss": 0.338,
+      "step": 820
+    },
+    {
+      "epoch": 2.287094547964113,
+      "grad_norm": 0.4817161560058594,
+      "learning_rate": 1.60053963479852e-05,
+      "loss": 0.3334,
+      "step": 830
+    },
+    {
+      "epoch": 2.3146997929606625,
+      "grad_norm": 0.4438902735710144,
+      "learning_rate": 1.4844171687048058e-05,
+      "loss": 0.3359,
+      "step": 840
+    },
+    {
+      "epoch": 2.3423050379572117,
+      "grad_norm": 0.45830076932907104,
+      "learning_rate": 1.371929419020459e-05,
+      "loss": 0.3534,
+      "step": 850
+    },
+    {
+      "epoch": 2.3699102829537613,
+      "grad_norm": 0.48253732919692993,
+      "learning_rate": 1.2631926854002574e-05,
+      "loss": 0.3247,
+      "step": 860
+    },
+    {
+      "epoch": 2.3975155279503104,
+      "grad_norm": 0.4572385549545288,
+      "learning_rate": 1.1583193893711475e-05,
+      "loss": 0.3309,
+      "step": 870
+    },
+    {
+      "epoch": 2.42512077294686,
+      "grad_norm": 0.4570174217224121,
+      "learning_rate": 1.0574179581010468e-05,
+      "loss": 0.3408,
+      "step": 880
+    },
+    {
+      "epoch": 2.452726017943409,
+      "grad_norm": 0.5289928913116455,
+      "learning_rate": 9.60592712297379e-06,
+      "loss": 0.3338,
+      "step": 890
+    },
+    {
+      "epoch": 2.4803312629399588,
+      "grad_norm": 0.49394240975379944,
+      "learning_rate": 8.679437583512168e-06,
+      "loss": 0.3398,
+      "step": 900
+    },
+    {
+      "epoch": 2.507936507936508,
+      "grad_norm": 0.412822425365448,
+      "learning_rate": 7.795668848385623e-06,
+      "loss": 0.333,
+      "step": 910
+    },
+    {
+      "epoch": 2.5355417529330575,
+      "grad_norm": 0.4305315911769867,
+      "learning_rate": 6.95553463485748e-06,
+      "loss": 0.342,
+      "step": 920
+    },
+    {
+      "epoch": 2.5631469979296067,
+      "grad_norm": 0.43158090114593506,
+      "learning_rate": 6.159903547013746e-06,
+      "loss": 0.3335,
+      "step": 930
+    },
+    {
+      "epoch": 2.590752242926156,
+      "grad_norm": 0.4319579005241394,
+      "learning_rate": 5.409598177724401e-06,
+      "loss": 0.3426,
+      "step": 940
+    },
+    {
+      "epoch": 2.6183574879227054,
+      "grad_norm": 0.4702156186103821,
+      "learning_rate": 4.7053942581750385e-06,
+      "loss": 0.3463,
+      "step": 950
+    },
+    {
+      "epoch": 2.6459627329192545,
+      "grad_norm": 0.38157370686531067,
+      "learning_rate": 4.048019855848273e-06,
+      "loss": 0.3331,
+      "step": 960
+    },
+    {
+      "epoch": 2.673567977915804,
+      "grad_norm": 0.4141283631324768,
+      "learning_rate": 3.438154621784029e-06,
+      "loss": 0.3422,
+      "step": 970
+    },
+    {
+      "epoch": 2.7011732229123533,
+      "grad_norm": 0.42628729343414307,
+      "learning_rate": 2.8764290878969756e-06,
+      "loss": 0.3262,
+      "step": 980
+    },
+    {
+      "epoch": 2.728778467908903,
+      "grad_norm": 0.4850899577140808,
+      "learning_rate": 2.3634240150775646e-06,
+      "loss": 0.3303,
+      "step": 990
+    },
+    {
+      "epoch": 2.756383712905452,
+      "grad_norm": 0.4277842938899994,
+      "learning_rate": 1.8996697927507468e-06,
+      "loss": 0.3446,
+      "step": 1000
+    }
+  ],
+  "logging_steps": 10,
+  "max_steps": 1086,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 3,
+  "save_steps": 500,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": false
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 5.683655210640081e+18,
+  "train_batch_size": 1,
+  "trial_name": null,
+  "trial_params": null
+}

checkpoint-1000/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b52a6484c213110d668e89b1ff8d77bac863e0460a3e92ff200a8df3f14879a5
+size 5688

checkpoint-1086/README.md

@@ -0,0 +1,202 @@
+---
+base_model: deepseek-ai/DeepSeek-R1-Distill-Qwen-32B
+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 0.12.0

checkpoint-1086/adapter_config.json

@@ -0,0 +1,34 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "deepseek-ai/DeepSeek-R1-Distill-Qwen-32B",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": "pissa_niter_16",
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_dropout": 0.0,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "k_proj",
+    "down_proj",
+    "up_proj",
+    "gate_proj",
+    "o_proj",
+    "q_proj",
+    "v_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

checkpoint-1086/adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7d2b60858f8196e9c42a81145ebed482335b25f140656f334689c5cd28feb329
+size 268555264

checkpoint-1086/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fe095d3033abf7b29e4e0ba117b60632305190fb88b5c72cb944e0725c597755
+size 537626770

checkpoint-1086/rng_state_0.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:308f94f9a5c24e1bad5c393d56ae7af7782600f4e791d9c6ac35b22fff2105b6
+size 15024

checkpoint-1086/rng_state_1.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b056f3c23cb32dc77a2ec9e7651e0b64e4440e21f0fdf969b86bfc56a1cbdf06
+size 15024

checkpoint-1086/rng_state_2.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f3f8a05714bc528f4885a2816181652f2303b3e8150f89b56aaee6bec56aa520
+size 15024

checkpoint-1086/rng_state_3.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4f755bd3c330281961e5c03af9d10ce8c1e1678619d384f6f1fd5fd7dce2ff50
+size 15024

checkpoint-1086/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d2ec3825cfc68e7c0813fa8f1ff9533ce9c3275fb09281f03c2130ac24e05f2d
+size 1064

checkpoint-1086/special_tokens_map.json

@@ -0,0 +1,23 @@
+{
+  "bos_token": {
+    "content": "<｜begin▁of▁sentence｜>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "<｜end▁of▁sentence｜>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<｜end▁of▁sentence｜>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

checkpoint-1086/tokenizer.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e20ddafc659ba90242154b55275402edeca0715e5dbb30f56815a4ce081f4893
+size 11422778

checkpoint-1086/tokenizer_config.json

@@ -0,0 +1,197 @@
+{
+  "add_bos_token": true,
+  "add_eos_token": false,
+  "add_prefix_space": null,
+  "added_tokens_decoder": {
+    "151643": {
+      "content": "<｜end▁of▁sentence｜>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151644": {
+      "content": "<｜User｜>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151645": {
+      "content": "<｜Assistant｜>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151646": {
+      "content": "<｜begin▁of▁sentence｜>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151647": {
+      "content": "<|EOT|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151648": {
+      "content": "<think>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151649": {
+      "content": "</think>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "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
+    }
+  },
+  "bos_token": "<｜begin▁of▁sentence｜>",
+  "chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set ns = namespace(is_first=false, is_tool=false, is_output_first=true, system_prompt='') %}{%- for message in messages %}{%- if message['role'] == 'system' %}{% set ns.system_prompt = message['content'] %}{%- endif %}{%- endfor %}{{bos_token}}{{ns.system_prompt}}{%- for message in messages %}{%- if message['role'] == 'user' %}{%- set ns.is_tool = false -%}{{'<｜User｜>' + message['content']}}{%- endif %}{%- if message['role'] == 'assistant' and message['content'] is none %}{%- set ns.is_tool = false -%}{%- for tool in message['tool_calls']%}{%- if not ns.is_first %}{{'<｜Assistant｜><｜tool▁calls▁begin｜><｜tool▁call▁begin��>' + tool['type'] + '<｜tool▁sep｜>' + tool['function']['name'] + '\\n' + '```json' + '\\n' + tool['function']['arguments'] + '\\n' + '```' + '<｜tool▁call▁end｜>'}}{%- set ns.is_first = true -%}{%- else %}{{'\\n' + '<｜tool▁call▁begin｜>' + tool['type'] + '<｜tool▁sep｜>' + tool['function']['name'] + '\\n' + '```json' + '\\n' + tool['function']['arguments'] + '\\n' + '```' + '<｜tool▁call▁end｜>'}}{{'<｜tool▁calls▁end｜><｜end▁of▁sentence｜>'}}{%- endif %}{%- endfor %}{%- endif %}{%- if message['role'] == 'assistant' and message['content'] is not none %}{%- if ns.is_tool %}{{'<｜tool▁outputs▁end｜>' + message['content'] + '<｜end▁of▁sentence｜>'}}{%- set ns.is_tool = false -%}{%- else %}{% set content = message['content'] %}{% if '</think>' in content %}{% set content = content.split('</think>')[-1] %}{% endif %}{{'<｜Assistant｜>' + content + '<｜end▁of▁sentence｜>'}}{%- endif %}{%- endif %}{%- if message['role'] == 'tool' %}{%- set ns.is_tool = true -%}{%- if ns.is_output_first %}{{'<｜tool▁outputs▁begin｜><｜tool▁output▁begin｜>' + message['content'] + '<｜tool▁output▁end｜>'}}{%- set ns.is_output_first = false %}{%- else %}{{'\\n<｜tool▁output▁begin｜>' + message['content'] + '<｜tool▁output▁end｜>'}}{%- endif %}{%- endif %}{%- endfor -%}{% if ns.is_tool %}{{'<｜tool▁outputs▁end｜>'}}{% endif %}{% if add_generation_prompt and not ns.is_tool %}{{'<｜Assistant｜><think>\\n'}}{% endif %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<｜end▁of▁sentence｜>",
+  "extra_special_tokens": {},
+  "legacy": true,
+  "model_max_length": 2048,
+  "pad_token": "<｜end▁of▁sentence｜>",
+  "padding_side": "right",
+  "sp_model_kwargs": {},
+  "split_special_tokens": false,
+  "tokenizer_class": "LlamaTokenizerFast",
+  "unk_token": null,
+  "use_default_system_prompt": false
+}

checkpoint-1086/trainer_state.json

@@ -0,0 +1,789 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 2.9937888198757765,
+  "eval_steps": 500,
+  "global_step": 1086,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.027605244996549344,
+      "grad_norm": 1.6335422992706299,
+      "learning_rate": 9.174311926605506e-06,
+      "loss": 0.8102,
+      "step": 10
+    },
+    {
+      "epoch": 0.05521048999309869,
+      "grad_norm": 0.8111785054206848,
+      "learning_rate": 1.834862385321101e-05,
+      "loss": 0.6999,
+      "step": 20
+    },
+    {
+      "epoch": 0.08281573498964803,
+      "grad_norm": 0.4619831144809723,
+      "learning_rate": 2.7522935779816515e-05,
+      "loss": 0.5682,
+      "step": 30
+    },
+    {
+      "epoch": 0.11042097998619738,
+      "grad_norm": 0.4434720575809479,
+      "learning_rate": 3.669724770642202e-05,
+      "loss": 0.5232,
+      "step": 40
+    },
+    {
+      "epoch": 0.13802622498274672,
+      "grad_norm": 0.44054797291755676,
+      "learning_rate": 4.587155963302753e-05,
+      "loss": 0.5084,
+      "step": 50
+    },
+    {
+      "epoch": 0.16563146997929606,
+      "grad_norm": 0.42256447672843933,
+      "learning_rate": 5.504587155963303e-05,
+      "loss": 0.477,
+      "step": 60
+    },
+    {
+      "epoch": 0.1932367149758454,
+      "grad_norm": 0.4349405765533447,
+      "learning_rate": 6.422018348623854e-05,
+      "loss": 0.4841,
+      "step": 70
+    },
+    {
+      "epoch": 0.22084195997239475,
+      "grad_norm": 0.4515930712223053,
+      "learning_rate": 7.339449541284404e-05,
+      "loss": 0.4704,
+      "step": 80
+    },
+    {
+      "epoch": 0.2484472049689441,
+      "grad_norm": 0.45412737131118774,
+      "learning_rate": 8.256880733944955e-05,
+      "loss": 0.4718,
+      "step": 90
+    },
+    {
+      "epoch": 0.27605244996549344,
+      "grad_norm": 0.49010995030403137,
+      "learning_rate": 9.174311926605506e-05,
+      "loss": 0.4496,
+      "step": 100
+    },
+    {
+      "epoch": 0.3036576949620428,
+      "grad_norm": 0.4931396245956421,
+      "learning_rate": 9.999974150612772e-05,
+      "loss": 0.4524,
+      "step": 110
+    },
+    {
+      "epoch": 0.33126293995859213,
+      "grad_norm": 1.1270735263824463,
+      "learning_rate": 9.996872547536591e-05,
+      "loss": 0.4503,
+      "step": 120
+    },
+    {
+      "epoch": 0.3588681849551415,
+      "grad_norm": 0.48991507291793823,
+      "learning_rate": 9.988604741439287e-05,
+      "loss": 0.4399,
+      "step": 130
+    },
+    {
+      "epoch": 0.3864734299516908,
+      "grad_norm": 0.45801088213920593,
+      "learning_rate": 9.975179280300506e-05,
+      "loss": 0.4524,
+      "step": 140
+    },
+    {
+      "epoch": 0.4140786749482402,
+      "grad_norm": 0.420897901058197,
+      "learning_rate": 9.956610044533896e-05,
+      "loss": 0.4281,
+      "step": 150
+    },
+    {
+      "epoch": 0.4416839199447895,
+      "grad_norm": 0.4336962103843689,
+      "learning_rate": 9.932916232636318e-05,
+      "loss": 0.4305,
+      "step": 160
+    },
+    {
+      "epoch": 0.4692891649413389,
+      "grad_norm": 0.44120800495147705,
+      "learning_rate": 9.904122341338765e-05,
+      "loss": 0.4208,
+      "step": 170
+    },
+    {
+      "epoch": 0.4968944099378882,
+      "grad_norm": 0.9154078364372253,
+      "learning_rate": 9.870258140279503e-05,
+      "loss": 0.4436,
+      "step": 180
+    },
+    {
+      "epoch": 0.5244996549344375,
+      "grad_norm": 0.4551916718482971,
+      "learning_rate": 9.831358641225624e-05,
+      "loss": 0.4288,
+      "step": 190
+    },
+    {
+      "epoch": 0.5521048999309869,
+      "grad_norm": 0.4513665437698364,
+      "learning_rate": 9.787464061874825e-05,
+      "loss": 0.4384,
+      "step": 200
+    },
+    {
+      "epoch": 0.5797101449275363,
+      "grad_norm": 0.43779632449150085,
+      "learning_rate": 9.738619784274833e-05,
+      "loss": 0.4178,
+      "step": 210
+    },
+    {
+      "epoch": 0.6073153899240856,
+      "grad_norm": 0.4170076847076416,
+      "learning_rate": 9.684876307903494e-05,
+      "loss": 0.42,
+      "step": 220
+    },
+    {
+      "epoch": 0.6349206349206349,
+      "grad_norm": 0.4370488226413727,
+      "learning_rate": 9.626289197457994e-05,
+      "loss": 0.4296,
+      "step": 230
+    },
+    {
+      "epoch": 0.6625258799171843,
+      "grad_norm": 0.42547333240509033,
+      "learning_rate": 9.562919025407236e-05,
+      "loss": 0.4264,
+      "step": 240
+    },
+    {
+      "epoch": 0.6901311249137336,
+      "grad_norm": 0.4317057430744171,
+      "learning_rate": 9.494831309366723e-05,
+      "loss": 0.4052,
+      "step": 250
+    },
+    {
+      "epoch": 0.717736369910283,
+      "grad_norm": 0.40589675307273865,
+      "learning_rate": 9.422096444360735e-05,
+      "loss": 0.41,
+      "step": 260
+    },
+    {
+      "epoch": 0.7453416149068323,
+      "grad_norm": 0.44671744108200073,
+      "learning_rate": 9.34478963004181e-05,
+      "loss": 0.4162,
+      "step": 270
+    },
+    {
+      "epoch": 0.7729468599033816,
+      "grad_norm": 0.41162508726119995,
+      "learning_rate": 9.262990792942768e-05,
+      "loss": 0.4183,
+      "step": 280
+    },
+    {
+      "epoch": 0.800552104899931,
+      "grad_norm": 0.483149915933609,
+      "learning_rate": 9.176784503841697e-05,
+      "loss": 0.4174,
+      "step": 290
+    },
+    {
+      "epoch": 0.8281573498964804,
+      "grad_norm": 0.4605332612991333,
+      "learning_rate": 9.086259890325297e-05,
+      "loss": 0.4191,
+      "step": 300
+    },
+    {
+      "epoch": 0.8557625948930296,
+      "grad_norm": 0.4153307378292084,
+      "learning_rate": 8.991510544640991e-05,
+      "loss": 0.4253,
+      "step": 310
+    },
+    {
+      "epoch": 0.883367839889579,
+      "grad_norm": 0.43806084990501404,
+      "learning_rate": 8.892634426933106e-05,
+      "loss": 0.4265,
+      "step": 320
+    },
+    {
+      "epoch": 0.9109730848861284,
+      "grad_norm": 0.45412200689315796,
+      "learning_rate": 8.78973376396311e-05,
+      "loss": 0.4365,
+      "step": 330
+    },
+    {
+      "epoch": 0.9385783298826778,
+      "grad_norm": 0.3769752085208893,
+      "learning_rate": 8.682914943418676e-05,
+      "loss": 0.4058,
+      "step": 340
+    },
+    {
+      "epoch": 0.966183574879227,
+      "grad_norm": 0.4275883436203003,
+      "learning_rate": 8.572288403920792e-05,
+      "loss": 0.4078,
+      "step": 350
+    },
+    {
+      "epoch": 0.9937888198757764,
+      "grad_norm": 0.43371307849884033,
+      "learning_rate": 8.45796852084268e-05,
+      "loss": 0.4063,
+      "step": 360
+    },
+    {
+      "epoch": 1.0193236714975846,
+      "grad_norm": 0.4527032673358917,
+      "learning_rate": 8.340073488058552e-05,
+      "loss": 0.3742,
+      "step": 370
+    },
+    {
+      "epoch": 1.0469289164941338,
+      "grad_norm": 0.5205631256103516,
+      "learning_rate": 8.218725195744463e-05,
+      "loss": 0.3809,
+      "step": 380
+    },
+    {
+      "epoch": 1.0745341614906831,
+      "grad_norm": 0.4031950533390045,
+      "learning_rate": 8.094049104357609e-05,
+      "loss": 0.3823,
+      "step": 390
+    },
+    {
+      "epoch": 1.1021394064872325,
+      "grad_norm": 0.41949087381362915,
+      "learning_rate": 7.966174114924351e-05,
+      "loss": 0.3765,
+      "step": 400
+    },
+    {
+      "epoch": 1.129744651483782,
+      "grad_norm": 0.43814027309417725,
+      "learning_rate": 7.83523243577109e-05,
+      "loss": 0.3751,
+      "step": 410
+    },
+    {
+      "epoch": 1.1573498964803313,
+      "grad_norm": 0.4457204341888428,
+      "learning_rate": 7.70135944583575e-05,
+      "loss": 0.3869,
+      "step": 420
+    },
+    {
+      "epoch": 1.1849551414768806,
+      "grad_norm": 0.41421836614608765,
+      "learning_rate": 7.56469355470122e-05,
+      "loss": 0.3634,
+      "step": 430
+    },
+    {
+      "epoch": 1.21256038647343,
+      "grad_norm": 0.4416670799255371,
+      "learning_rate": 7.425376059495442e-05,
+      "loss": 0.3768,
+      "step": 440
+    },
+    {
+      "epoch": 1.2401656314699794,
+      "grad_norm": 0.44710710644721985,
+      "learning_rate": 7.283550998806108e-05,
+      "loss": 0.3669,
+      "step": 450
+    },
+    {
+      "epoch": 1.2677708764665288,
+      "grad_norm": 0.39852890372276306,
+      "learning_rate": 7.139365003760999e-05,
+      "loss": 0.3824,
+      "step": 460
+    },
+    {
+      "epoch": 1.295376121463078,
+      "grad_norm": 0.4412725269794464,
+      "learning_rate": 6.992967146427913e-05,
+      "loss": 0.3646,
+      "step": 470
+    },
+    {
+      "epoch": 1.3229813664596273,
+      "grad_norm": 0.41978228092193604,
+      "learning_rate": 6.844508785690964e-05,
+      "loss": 0.3755,
+      "step": 480
+    },
+    {
+      "epoch": 1.3505866114561766,
+      "grad_norm": 0.4214731752872467,
+      "learning_rate": 6.694143410762542e-05,
+      "loss": 0.3841,
+      "step": 490
+    },
+    {
+      "epoch": 1.378191856452726,
+      "grad_norm": 0.4128514230251312,
+      "learning_rate": 6.54202648249278e-05,
+      "loss": 0.3839,
+      "step": 500
+    },
+    {
+      "epoch": 1.4057971014492754,
+      "grad_norm": 0.3899001181125641,
+      "learning_rate": 6.388315272640544e-05,
+      "loss": 0.3726,
+      "step": 510
+    },
+    {
+      "epoch": 1.4334023464458248,
+      "grad_norm": 0.4347754120826721,
+      "learning_rate": 6.233168701272167e-05,
+      "loss": 0.3722,
+      "step": 520
+    },
+    {
+      "epoch": 1.4610075914423741,
+      "grad_norm": 0.3798378109931946,
+      "learning_rate": 6.076747172456015e-05,
+      "loss": 0.3623,
+      "step": 530
+    },
+    {
+      "epoch": 1.4886128364389233,
+      "grad_norm": 0.3879692256450653,
+      "learning_rate": 5.919212408422753e-05,
+      "loss": 0.3684,
+      "step": 540
+    },
+    {
+      "epoch": 1.5162180814354729,
+      "grad_norm": 0.4210754930973053,
+      "learning_rate": 5.76072728236279e-05,
+      "loss": 0.3674,
+      "step": 550
+    },
+    {
+      "epoch": 1.543823326432022,
+      "grad_norm": 0.4184245467185974,
+      "learning_rate": 5.6014556500337534e-05,
+      "loss": 0.3602,
+      "step": 560
+    },
+    {
+      "epoch": 1.5714285714285714,
+      "grad_norm": 0.43027910590171814,
+      "learning_rate": 5.44156218035211e-05,
+      "loss": 0.3872,
+      "step": 570
+    },
+    {
+      "epoch": 1.5990338164251208,
+      "grad_norm": 0.38721945881843567,
+      "learning_rate": 5.28121218514406e-05,
+      "loss": 0.3678,
+      "step": 580
+    },
+    {
+      "epoch": 1.6266390614216701,
+      "grad_norm": 0.4199799597263336,
+      "learning_rate": 5.1205714482317455e-05,
+      "loss": 0.3652,
+      "step": 590
+    },
+    {
+      "epoch": 1.6542443064182195,
+      "grad_norm": 0.40728333592414856,
+      "learning_rate": 4.95980605403146e-05,
+      "loss": 0.3786,
+      "step": 600
+    },
+    {
+      "epoch": 1.6818495514147687,
+      "grad_norm": 0.41107377409935,
+      "learning_rate": 4.79908221584108e-05,
+      "loss": 0.3715,
+      "step": 610
+    },
+    {
+      "epoch": 1.7094547964113183,
+      "grad_norm": 0.45491889119148254,
+      "learning_rate": 4.638566103994258e-05,
+      "loss": 0.386,
+      "step": 620
+    },
+    {
+      "epoch": 1.7370600414078674,
+      "grad_norm": 0.4167945683002472,
+      "learning_rate": 4.478423674059015e-05,
+      "loss": 0.3723,
+      "step": 630
+    },
+    {
+      "epoch": 1.764665286404417,
+      "grad_norm": 0.4188650846481323,
+      "learning_rate": 4.318820495258396e-05,
+      "loss": 0.3794,
+      "step": 640
+    },
+    {
+      "epoch": 1.7922705314009661,
+      "grad_norm": 0.45200666785240173,
+      "learning_rate": 4.159921579290546e-05,
+      "loss": 0.3641,
+      "step": 650
+    },
+    {
+      "epoch": 1.8198757763975155,
+      "grad_norm": 0.42524534463882446,
+      "learning_rate": 4.0018912097252234e-05,
+      "loss": 0.3727,
+      "step": 660
+    },
+    {
+      "epoch": 1.847481021394065,
+      "grad_norm": 0.4238753318786621,
+      "learning_rate": 3.8448927721530967e-05,
+      "loss": 0.3666,
+      "step": 670
+    },
+    {
+      "epoch": 1.8750862663906143,
+      "grad_norm": 0.3949458599090576,
+      "learning_rate": 3.6890885852634635e-05,
+      "loss": 0.3707,
+      "step": 680
+    },
+    {
+      "epoch": 1.9026915113871636,
+      "grad_norm": 0.4040445387363434,
+      "learning_rate": 3.534639733025017e-05,
+      "loss": 0.3793,
+      "step": 690
+    },
+    {
+      "epoch": 1.9302967563837128,
+      "grad_norm": 0.42878955602645874,
+      "learning_rate": 3.3817058981431784e-05,
+      "loss": 0.3623,
+      "step": 700
+    },
+    {
+      "epoch": 1.9579020013802624,
+      "grad_norm": 0.42626291513442993,
+      "learning_rate": 3.230445196966181e-05,
+      "loss": 0.3564,
+      "step": 710
+    },
+    {
+      "epoch": 1.9855072463768115,
+      "grad_norm": 0.43052035570144653,
+      "learning_rate": 3.081014016010584e-05,
+      "loss": 0.3681,
+      "step": 720
+    },
+    {
+      "epoch": 2.0110420979986197,
+      "grad_norm": 0.4627828896045685,
+      "learning_rate": 2.9335668502752394e-05,
+      "loss": 0.359,
+      "step": 730
+    },
+    {
+      "epoch": 2.0386473429951693,
+      "grad_norm": 0.45345333218574524,
+      "learning_rate": 2.7882561435108824e-05,
+      "loss": 0.3189,
+      "step": 740
+    },
+    {
+      "epoch": 2.0662525879917184,
+      "grad_norm": 0.40497517585754395,
+      "learning_rate": 2.6452321306104634e-05,
+      "loss": 0.3409,
+      "step": 750
+    },
+    {
+      "epoch": 2.0938578329882676,
+      "grad_norm": 0.4666087329387665,
+      "learning_rate": 2.5046426822832175e-05,
+      "loss": 0.3354,
+      "step": 760
+    },
+    {
+      "epoch": 2.121463077984817,
+      "grad_norm": 0.38220757246017456,
+      "learning_rate": 2.3666331521730024e-05,
+      "loss": 0.3366,
+      "step": 770
+    },
+    {
+      "epoch": 2.1490683229813663,
+      "grad_norm": 0.4605223536491394,
+      "learning_rate": 2.2313462265790196e-05,
+      "loss": 0.3231,
+      "step": 780
+    },
+    {
+      "epoch": 2.176673567977916,
+      "grad_norm": 0.558403730392456,
+      "learning_rate": 2.098921776934269e-05,
+      "loss": 0.3333,
+      "step": 790
+    },
+    {
+      "epoch": 2.204278812974465,
+      "grad_norm": 0.45217105746269226,
+      "learning_rate": 1.96949671519424e-05,
+      "loss": 0.3401,
+      "step": 800
+    },
+    {
+      "epoch": 2.2318840579710146,
+      "grad_norm": 0.4413389563560486,
+      "learning_rate": 1.843204852285389e-05,
+      "loss": 0.3453,
+      "step": 810
+    },
+    {
+      "epoch": 2.259489302967564,
+      "grad_norm": 0.3977566063404083,
+      "learning_rate": 1.7201767597597196e-05,
+      "loss": 0.338,
+      "step": 820
+    },
+    {
+      "epoch": 2.287094547964113,
+      "grad_norm": 0.4817161560058594,
+      "learning_rate": 1.60053963479852e-05,
+      "loss": 0.3334,
+      "step": 830
+    },
+    {
+      "epoch": 2.3146997929606625,
+      "grad_norm": 0.4438902735710144,
+      "learning_rate": 1.4844171687048058e-05,
+      "loss": 0.3359,
+      "step": 840
+    },
+    {
+      "epoch": 2.3423050379572117,
+      "grad_norm": 0.45830076932907104,
+      "learning_rate": 1.371929419020459e-05,
+      "loss": 0.3534,
+      "step": 850
+    },
+    {
+      "epoch": 2.3699102829537613,
+      "grad_norm": 0.48253732919692993,
+      "learning_rate": 1.2631926854002574e-05,
+      "loss": 0.3247,
+      "step": 860
+    },
+    {
+      "epoch": 2.3975155279503104,
+      "grad_norm": 0.4572385549545288,
+      "learning_rate": 1.1583193893711475e-05,
+      "loss": 0.3309,
+      "step": 870
+    },
+    {
+      "epoch": 2.42512077294686,
+      "grad_norm": 0.4570174217224121,
+      "learning_rate": 1.0574179581010468e-05,
+      "loss": 0.3408,
+      "step": 880
+    },
+    {
+      "epoch": 2.452726017943409,
+      "grad_norm": 0.5289928913116455,
+      "learning_rate": 9.60592712297379e-06,
+      "loss": 0.3338,
+      "step": 890
+    },
+    {
+      "epoch": 2.4803312629399588,
+      "grad_norm": 0.49394240975379944,
+      "learning_rate": 8.679437583512168e-06,
+      "loss": 0.3398,
+      "step": 900
+    },
+    {
+      "epoch": 2.507936507936508,
+      "grad_norm": 0.412822425365448,
+      "learning_rate": 7.795668848385623e-06,
+      "loss": 0.333,
+      "step": 910
+    },
+    {
+      "epoch": 2.5355417529330575,
+      "grad_norm": 0.4305315911769867,
+      "learning_rate": 6.95553463485748e-06,
+      "loss": 0.342,
+      "step": 920
+    },
+    {
+      "epoch": 2.5631469979296067,
+      "grad_norm": 0.43158090114593506,
+      "learning_rate": 6.159903547013746e-06,
+      "loss": 0.3335,
+      "step": 930
+    },
+    {
+      "epoch": 2.590752242926156,
+      "grad_norm": 0.4319579005241394,
+      "learning_rate": 5.409598177724401e-06,
+      "loss": 0.3426,
+      "step": 940
+    },
+    {
+      "epoch": 2.6183574879227054,
+      "grad_norm": 0.4702156186103821,
+      "learning_rate": 4.7053942581750385e-06,
+      "loss": 0.3463,
+      "step": 950
+    },
+    {
+      "epoch": 2.6459627329192545,
+      "grad_norm": 0.38157370686531067,
+      "learning_rate": 4.048019855848273e-06,
+      "loss": 0.3331,
+      "step": 960
+    },
+    {
+      "epoch": 2.673567977915804,
+      "grad_norm": 0.4141283631324768,
+      "learning_rate": 3.438154621784029e-06,
+      "loss": 0.3422,
+      "step": 970
+    },
+    {
+      "epoch": 2.7011732229123533,
+      "grad_norm": 0.42628729343414307,
+      "learning_rate": 2.8764290878969756e-06,
+      "loss": 0.3262,
+      "step": 980
+    },
+    {
+      "epoch": 2.728778467908903,
+      "grad_norm": 0.4850899577140808,
+      "learning_rate": 2.3634240150775646e-06,
+      "loss": 0.3303,
+      "step": 990
+    },
+    {
+      "epoch": 2.756383712905452,
+      "grad_norm": 0.4277842938899994,
+      "learning_rate": 1.8996697927507468e-06,
+      "loss": 0.3446,
+      "step": 1000
+    },
+    {
+      "epoch": 2.783988957902001,
+      "grad_norm": 0.45691201090812683,
+      "learning_rate": 1.4856458905130822e-06,
+      "loss": 0.3309,
+      "step": 1010
+    },
+    {
+      "epoch": 2.8115942028985508,
+      "grad_norm": 0.4542577862739563,
+      "learning_rate": 1.1217803624152311e-06,
+      "loss": 0.326,
+      "step": 1020
+    },
+    {
+      "epoch": 2.8391994478951,
+      "grad_norm": 0.39988699555397034,
+      "learning_rate": 8.084494044022839e-07,
+      "loss": 0.3364,
+      "step": 1030
+    },
+    {
+      "epoch": 2.8668046928916495,
+      "grad_norm": 0.43636584281921387,
+      "learning_rate": 5.459769653695657e-07,
+      "loss": 0.3313,
+      "step": 1040
+    },
+    {
+      "epoch": 2.8944099378881987,
+      "grad_norm": 0.4335787892341614,
+      "learning_rate": 3.346344122360179e-07,
+      "loss": 0.328,
+      "step": 1050
+    },
+    {
+      "epoch": 2.9220151828847483,
+      "grad_norm": 0.4669038951396942,
+      "learning_rate": 1.746402493813415e-07,
+      "loss": 0.3426,
+      "step": 1060
+    },
+    {
+      "epoch": 2.9496204278812974,
+      "grad_norm": 0.43036729097366333,
+      "learning_rate": 6.615989273713874e-08,
+      "loss": 0.3378,
+      "step": 1070
+    },
+    {
+      "epoch": 2.9772256728778466,
+      "grad_norm": 0.4190558195114136,
+      "learning_rate": 9.305498765438404e-09,
+      "loss": 0.3358,
+      "step": 1080
+    }
+  ],
+  "logging_steps": 10,
+  "max_steps": 1086,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 3,
+  "save_steps": 500,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": true
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 6.17252944434797e+18,
+  "train_batch_size": 1,
+  "trial_name": null,
+  "trial_params": null
+}

checkpoint-1086/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b52a6484c213110d668e89b1ff8d77bac863e0460a3e92ff200a8df3f14879a5
+size 5688

checkpoint-500/README.md

@@ -0,0 +1,202 @@
+---
+base_model: deepseek-ai/DeepSeek-R1-Distill-Qwen-32B
+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 0.12.0

checkpoint-500/adapter_config.json

@@ -0,0 +1,34 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "deepseek-ai/DeepSeek-R1-Distill-Qwen-32B",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": "pissa_niter_16",
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_dropout": 0.0,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "k_proj",
+    "down_proj",
+    "up_proj",
+    "gate_proj",
+    "o_proj",
+    "q_proj",
+    "v_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

checkpoint-500/adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a43131df51ef87099c41c2eea064b6c7bed5f2ef3b3f3f89d0eeab4739d280a1
+size 268555264

checkpoint-500/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1b8e1f62ba644f7ff12a4315ffe2e414d517d1aefb5665ce137d8d7e46935864
+size 537626770

checkpoint-500/rng_state_0.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bbe0d720c4c75a6a04213fa3b64bacbe794718a53e2b56ebb67a1a795014dfad
+size 15024

checkpoint-500/rng_state_1.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:72452d3138d0ca2ff89429e3294a834ae7a68e8596fc757735ca56ae52509d57
+size 15024

checkpoint-500/rng_state_2.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f36e306fb8ebcf53a167bfd6c9af74db410a269ada1e619e3e816f5269543b9d
+size 15024

checkpoint-500/rng_state_3.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bb47ce0c6f815a6f8302b0e3819b4c2315ca71dae3138d97fdceb765cdd0a039
+size 15024

checkpoint-500/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f9b15c8fe8bd1f8470d946d672234e9bd15a1a3744a13876ee58a8a23e297c9d
+size 1064

checkpoint-500/special_tokens_map.json

@@ -0,0 +1,23 @@
+{
+  "bos_token": {
+    "content": "<｜begin▁of▁sentence｜>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "<｜end▁of▁sentence｜>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<｜end▁of▁sentence｜>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

checkpoint-500/tokenizer.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e20ddafc659ba90242154b55275402edeca0715e5dbb30f56815a4ce081f4893
+size 11422778

checkpoint-500/tokenizer_config.json

@@ -0,0 +1,197 @@
+{
+  "add_bos_token": true,
+  "add_eos_token": false,
+  "add_prefix_space": null,
+  "added_tokens_decoder": {
+    "151643": {
+      "content": "<｜end▁of▁sentence｜>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151644": {
+      "content": "<｜User｜>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151645": {
+      "content": "<｜Assistant｜>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151646": {
+      "content": "<｜begin▁of▁sentence｜>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151647": {
+      "content": "<|EOT|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151648": {
+      "content": "<think>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151649": {
+      "content": "</think>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "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
+    }
+  },
+  "bos_token": "<｜begin▁of▁sentence｜>",
+  "chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set ns = namespace(is_first=false, is_tool=false, is_output_first=true, system_prompt='') %}{%- for message in messages %}{%- if message['role'] == 'system' %}{% set ns.system_prompt = message['content'] %}{%- endif %}{%- endfor %}{{bos_token}}{{ns.system_prompt}}{%- for message in messages %}{%- if message['role'] == 'user' %}{%- set ns.is_tool = false -%}{{'<｜User｜>' + message['content']}}{%- endif %}{%- if message['role'] == 'assistant' and message['content'] is none %}{%- set ns.is_tool = false -%}{%- for tool in message['tool_calls']%}{%- if not ns.is_first %}{{'<｜Assistant｜><｜tool▁calls▁begin｜><｜tool▁call▁begin��>' + tool['type'] + '<｜tool▁sep｜>' + tool['function']['name'] + '\\n' + '```json' + '\\n' + tool['function']['arguments'] + '\\n' + '```' + '<｜tool▁call▁end｜>'}}{%- set ns.is_first = true -%}{%- else %}{{'\\n' + '<｜tool▁call▁begin｜>' + tool['type'] + '<｜tool▁sep｜>' + tool['function']['name'] + '\\n' + '```json' + '\\n' + tool['function']['arguments'] + '\\n' + '```' + '<｜tool▁call▁end｜>'}}{{'<｜tool▁calls▁end｜><｜end▁of▁sentence｜>'}}{%- endif %}{%- endfor %}{%- endif %}{%- if message['role'] == 'assistant' and message['content'] is not none %}{%- if ns.is_tool %}{{'<｜tool▁outputs▁end｜>' + message['content'] + '<｜end▁of▁sentence｜>'}}{%- set ns.is_tool = false -%}{%- else %}{% set content = message['content'] %}{% if '</think>' in content %}{% set content = content.split('</think>')[-1] %}{% endif %}{{'<｜Assistant｜>' + content + '<｜end▁of▁sentence｜>'}}{%- endif %}{%- endif %}{%- if message['role'] == 'tool' %}{%- set ns.is_tool = true -%}{%- if ns.is_output_first %}{{'<｜tool▁outputs▁begin｜><｜tool▁output▁begin｜>' + message['content'] + '<｜tool▁output▁end｜>'}}{%- set ns.is_output_first = false %}{%- else %}{{'\\n<｜tool▁output▁begin｜>' + message['content'] + '<｜tool▁output▁end｜>'}}{%- endif %}{%- endif %}{%- endfor -%}{% if ns.is_tool %}{{'<｜tool▁outputs▁end｜>'}}{% endif %}{% if add_generation_prompt and not ns.is_tool %}{{'<｜Assistant｜><think>\\n'}}{% endif %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<｜end▁of▁sentence｜>",
+  "extra_special_tokens": {},
+  "legacy": true,
+  "model_max_length": 2048,
+  "pad_token": "<｜end▁of▁sentence｜>",
+  "padding_side": "right",
+  "sp_model_kwargs": {},
+  "split_special_tokens": false,
+  "tokenizer_class": "LlamaTokenizerFast",
+  "unk_token": null,
+  "use_default_system_prompt": false
+}

checkpoint-500/trainer_state.json

@@ -0,0 +1,383 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 1.378191856452726,
+  "eval_steps": 500,
+  "global_step": 500,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.027605244996549344,
+      "grad_norm": 1.6335422992706299,
+      "learning_rate": 9.174311926605506e-06,
+      "loss": 0.8102,
+      "step": 10
+    },
+    {
+      "epoch": 0.05521048999309869,
+      "grad_norm": 0.8111785054206848,
+      "learning_rate": 1.834862385321101e-05,
+      "loss": 0.6999,
+      "step": 20
+    },
+    {
+      "epoch": 0.08281573498964803,
+      "grad_norm": 0.4619831144809723,
+      "learning_rate": 2.7522935779816515e-05,
+      "loss": 0.5682,
+      "step": 30
+    },
+    {
+      "epoch": 0.11042097998619738,
+      "grad_norm": 0.4434720575809479,
+      "learning_rate": 3.669724770642202e-05,
+      "loss": 0.5232,
+      "step": 40
+    },
+    {
+      "epoch": 0.13802622498274672,
+      "grad_norm": 0.44054797291755676,
+      "learning_rate": 4.587155963302753e-05,
+      "loss": 0.5084,
+      "step": 50
+    },
+    {
+      "epoch": 0.16563146997929606,
+      "grad_norm": 0.42256447672843933,
+      "learning_rate": 5.504587155963303e-05,
+      "loss": 0.477,
+      "step": 60
+    },
+    {
+      "epoch": 0.1932367149758454,
+      "grad_norm": 0.4349405765533447,
+      "learning_rate": 6.422018348623854e-05,
+      "loss": 0.4841,
+      "step": 70
+    },
+    {
+      "epoch": 0.22084195997239475,
+      "grad_norm": 0.4515930712223053,
+      "learning_rate": 7.339449541284404e-05,
+      "loss": 0.4704,
+      "step": 80
+    },
+    {
+      "epoch": 0.2484472049689441,
+      "grad_norm": 0.45412737131118774,
+      "learning_rate": 8.256880733944955e-05,
+      "loss": 0.4718,
+      "step": 90
+    },
+    {
+      "epoch": 0.27605244996549344,
+      "grad_norm": 0.49010995030403137,
+      "learning_rate": 9.174311926605506e-05,
+      "loss": 0.4496,
+      "step": 100
+    },
+    {
+      "epoch": 0.3036576949620428,
+      "grad_norm": 0.4931396245956421,
+      "learning_rate": 9.999974150612772e-05,
+      "loss": 0.4524,
+      "step": 110
+    },
+    {
+      "epoch": 0.33126293995859213,
+      "grad_norm": 1.1270735263824463,
+      "learning_rate": 9.996872547536591e-05,
+      "loss": 0.4503,
+      "step": 120
+    },
+    {
+      "epoch": 0.3588681849551415,
+      "grad_norm": 0.48991507291793823,
+      "learning_rate": 9.988604741439287e-05,
+      "loss": 0.4399,
+      "step": 130
+    },
+    {
+      "epoch": 0.3864734299516908,
+      "grad_norm": 0.45801088213920593,
+      "learning_rate": 9.975179280300506e-05,
+      "loss": 0.4524,
+      "step": 140
+    },
+    {
+      "epoch": 0.4140786749482402,
+      "grad_norm": 0.420897901058197,
+      "learning_rate": 9.956610044533896e-05,
+      "loss": 0.4281,
+      "step": 150
+    },
+    {
+      "epoch": 0.4416839199447895,
+      "grad_norm": 0.4336962103843689,
+      "learning_rate": 9.932916232636318e-05,
+      "loss": 0.4305,
+      "step": 160
+    },
+    {
+      "epoch": 0.4692891649413389,
+      "grad_norm": 0.44120800495147705,
+      "learning_rate": 9.904122341338765e-05,
+      "loss": 0.4208,
+      "step": 170
+    },
+    {
+      "epoch": 0.4968944099378882,
+      "grad_norm": 0.9154078364372253,
+      "learning_rate": 9.870258140279503e-05,
+      "loss": 0.4436,
+      "step": 180
+    },
+    {
+      "epoch": 0.5244996549344375,
+      "grad_norm": 0.4551916718482971,
+      "learning_rate": 9.831358641225624e-05,
+      "loss": 0.4288,
+      "step": 190
+    },
+    {
+      "epoch": 0.5521048999309869,
+      "grad_norm": 0.4513665437698364,
+      "learning_rate": 9.787464061874825e-05,
+      "loss": 0.4384,
+      "step": 200
+    },
+    {
+      "epoch": 0.5797101449275363,
+      "grad_norm": 0.43779632449150085,
+      "learning_rate": 9.738619784274833e-05,
+      "loss": 0.4178,
+      "step": 210
+    },
+    {
+      "epoch": 0.6073153899240856,
+      "grad_norm": 0.4170076847076416,
+      "learning_rate": 9.684876307903494e-05,
+      "loss": 0.42,
+      "step": 220
+    },
+    {
+      "epoch": 0.6349206349206349,
+      "grad_norm": 0.4370488226413727,
+      "learning_rate": 9.626289197457994e-05,
+      "loss": 0.4296,
+      "step": 230
+    },
+    {
+      "epoch": 0.6625258799171843,
+      "grad_norm": 0.42547333240509033,
+      "learning_rate": 9.562919025407236e-05,
+      "loss": 0.4264,
+      "step": 240
+    },
+    {
+      "epoch": 0.6901311249137336,
+      "grad_norm": 0.4317057430744171,
+      "learning_rate": 9.494831309366723e-05,
+      "loss": 0.4052,
+      "step": 250
+    },
+    {
+      "epoch": 0.717736369910283,
+      "grad_norm": 0.40589675307273865,
+      "learning_rate": 9.422096444360735e-05,
+      "loss": 0.41,
+      "step": 260
+    },
+    {
+      "epoch": 0.7453416149068323,
+      "grad_norm": 0.44671744108200073,
+      "learning_rate": 9.34478963004181e-05,
+      "loss": 0.4162,
+      "step": 270
+    },
+    {
+      "epoch": 0.7729468599033816,
+      "grad_norm": 0.41162508726119995,
+      "learning_rate": 9.262990792942768e-05,
+      "loss": 0.4183,
+      "step": 280
+    },
+    {
+      "epoch": 0.800552104899931,
+      "grad_norm": 0.483149915933609,
+      "learning_rate": 9.176784503841697e-05,
+      "loss": 0.4174,
+      "step": 290
+    },
+    {
+      "epoch": 0.8281573498964804,
+      "grad_norm": 0.4605332612991333,
+      "learning_rate": 9.086259890325297e-05,
+      "loss": 0.4191,
+      "step": 300
+    },
+    {
+      "epoch": 0.8557625948930296,
+      "grad_norm": 0.4153307378292084,
+      "learning_rate": 8.991510544640991e-05,
+      "loss": 0.4253,
+      "step": 310
+    },
+    {
+      "epoch": 0.883367839889579,
+      "grad_norm": 0.43806084990501404,
+      "learning_rate": 8.892634426933106e-05,
+      "loss": 0.4265,
+      "step": 320
+    },
+    {
+      "epoch": 0.9109730848861284,
+      "grad_norm": 0.45412200689315796,
+      "learning_rate": 8.78973376396311e-05,
+      "loss": 0.4365,
+      "step": 330
+    },
+    {
+      "epoch": 0.9385783298826778,
+      "grad_norm": 0.3769752085208893,
+      "learning_rate": 8.682914943418676e-05,
+      "loss": 0.4058,
+      "step": 340
+    },
+    {
+      "epoch": 0.966183574879227,
+      "grad_norm": 0.4275883436203003,
+      "learning_rate": 8.572288403920792e-05,
+      "loss": 0.4078,
+      "step": 350
+    },
+    {
+      "epoch": 0.9937888198757764,
+      "grad_norm": 0.43371307849884033,
+      "learning_rate": 8.45796852084268e-05,
+      "loss": 0.4063,
+      "step": 360
+    },
+    {
+      "epoch": 1.0193236714975846,
+      "grad_norm": 0.4527032673358917,
+      "learning_rate": 8.340073488058552e-05,
+      "loss": 0.3742,
+      "step": 370
+    },
+    {
+      "epoch": 1.0469289164941338,
+      "grad_norm": 0.5205631256103516,
+      "learning_rate": 8.218725195744463e-05,
+      "loss": 0.3809,
+      "step": 380
+    },
+    {
+      "epoch": 1.0745341614906831,
+      "grad_norm": 0.4031950533390045,
+      "learning_rate": 8.094049104357609e-05,
+      "loss": 0.3823,
+      "step": 390
+    },
+    {
+      "epoch": 1.1021394064872325,
+      "grad_norm": 0.41949087381362915,
+      "learning_rate": 7.966174114924351e-05,
+      "loss": 0.3765,
+      "step": 400
+    },
+    {
+      "epoch": 1.129744651483782,
+      "grad_norm": 0.43814027309417725,
+      "learning_rate": 7.83523243577109e-05,
+      "loss": 0.3751,
+      "step": 410
+    },
+    {
+      "epoch": 1.1573498964803313,
+      "grad_norm": 0.4457204341888428,
+      "learning_rate": 7.70135944583575e-05,
+      "loss": 0.3869,
+      "step": 420
+    },
+    {
+      "epoch": 1.1849551414768806,
+      "grad_norm": 0.41421836614608765,
+      "learning_rate": 7.56469355470122e-05,
+      "loss": 0.3634,
+      "step": 430
+    },
+    {
+      "epoch": 1.21256038647343,
+      "grad_norm": 0.4416670799255371,
+      "learning_rate": 7.425376059495442e-05,
+      "loss": 0.3768,
+      "step": 440
+    },
+    {
+      "epoch": 1.2401656314699794,
+      "grad_norm": 0.44710710644721985,
+      "learning_rate": 7.283550998806108e-05,
+      "loss": 0.3669,
+      "step": 450
+    },
+    {
+      "epoch": 1.2677708764665288,
+      "grad_norm": 0.39852890372276306,
+      "learning_rate": 7.139365003760999e-05,
+      "loss": 0.3824,
+      "step": 460
+    },
+    {
+      "epoch": 1.295376121463078,
+      "grad_norm": 0.4412725269794464,
+      "learning_rate": 6.992967146427913e-05,
+      "loss": 0.3646,
+      "step": 470
+    },
+    {
+      "epoch": 1.3229813664596273,
+      "grad_norm": 0.41978228092193604,
+      "learning_rate": 6.844508785690964e-05,
+      "loss": 0.3755,
+      "step": 480
+    },
+    {
+      "epoch": 1.3505866114561766,
+      "grad_norm": 0.4214731752872467,
+      "learning_rate": 6.694143410762542e-05,
+      "loss": 0.3841,
+      "step": 490
+    },
+    {
+      "epoch": 1.378191856452726,
+      "grad_norm": 0.4128514230251312,
+      "learning_rate": 6.54202648249278e-05,
+      "loss": 0.3839,
+      "step": 500
+    }
+  ],
+  "logging_steps": 10,
+  "max_steps": 1086,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 3,
+  "save_steps": 500,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": false
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 2.837431317598044e+18,
+  "train_batch_size": 1,
+  "trial_name": null,
+  "trial_params": null
+}

checkpoint-500/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b52a6484c213110d668e89b1ff8d77bac863e0460a3e92ff200a8df3f14879a5
+size 5688

pissa_backup/README.md

@@ -0,0 +1,202 @@
+---
+base_model: deepseek-ai/DeepSeek-R1-Distill-Qwen-32B
+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 0.12.0

pissa_backup/adapter_config.json

@@ -0,0 +1,34 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "deepseek-ai/DeepSeek-R1-Distill-Qwen-32B",
+  "bias": "none",
+  "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_dropout": 0.0,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "k_proj",
+    "down_proj",
+    "up_proj",
+    "gate_proj",
+    "o_proj",
+    "q_proj",
+    "v_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

pissa_backup/adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7d2b60858f8196e9c42a81145ebed482335b25f140656f334689c5cd28feb329
+size 268555264