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README.md

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+---
+library_name: transformers
+tags:
+- generated_from_trainer
+datasets:
+- sft.shisa-v2.1.jsonl
+model-index:
+- name: data/outputs/173-shisa-v1-7b-v2.1-midtrain-sft
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+[<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
+<details><summary>See axolotl config</summary>
+
+axolotl version: `0.13.0.dev0`
+```yaml
+# Axolotl SFT configuration for Qwen3-8B on 8x MI300X
+# 2X LR
+
+base_model: /data/outputs/172-shisa-v1-7b-v2.1-midtrain
+
+load_in_8bit: false
+load_in_4bit: false
+strict: false
+
+plugins:
+  - axolotl.integrations.liger.LigerPlugin
+liger_rope: true
+liger_rms_norm: true
+liger_glu_activation: true
+liger_fused_linear_cross_entropy: true
+
+chat_template: tokenizer_default
+chat_template_kwargs:
+  enable_thinking: false
+datasets:
+  - path: sft.shisa-v2.1.jsonl
+    type: chat_template
+    field_messages: conversations
+    message_property_mappings:
+      role: role
+      content: content
+    roles:
+      system:
+        - system
+      assistant:
+        - assistant
+        - gpt
+        - model
+      user:
+        - user
+        - human
+    roles_to_train: ["assistant"]
+
+shuffle_merged_datasets: false
+dataset_prepared_path: data/173
+val_set_size: 0
+output_dir: /data/outputs/173-shisa-v1-7b-v2.1-midtrain-sft
+
+sequence_len: 8192
+sample_packing: true
+flash_attention: true
+pad_to_sequence_len: true
+
+neftune_noise_alpha: 5
+
+use_wandb: true
+wandb_entity: augmxnt
+wandb_project: shisa-v2.1
+wandb_name: 173-shisa-v1-7b-v2.1-midtrain-sft
+
+# GBS 128 = 8 GPU x 16 MBS x 1 GAS
+gradient_accumulation_steps: 1
+micro_batch_size: 16
+num_epochs: 3
+optimizer: adamw_torch_8bit
+lr_scheduler: cosine
+learning_rate: 1e-05
+
+train_on_inputs: false
+group_by_length: false
+bf16: auto
+fp16:
+tf32: false
+
+gradient_checkpointing: true
+gradient_checkpointing_kwargs:
+  use_reentrant: false
+logging_steps: 1
+
+warmup_ratio: 0.03
+saves_per_epoch: 1
+save_total_limit: 3
+
+deepspeed: zero3_bf16.json
+weight_decay: 1e-4
+fsdp:
+fsdp_config:
+special_tokens:
+
+```
+
+</details><br>
+
+# data/outputs/173-shisa-v1-7b-v2.1-midtrain-sft
+
+This model was trained from scratch on the sft.shisa-v2.1.jsonl 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: 1e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 8
+- total_train_batch_size: 128
+- total_eval_batch_size: 128
+- optimizer: Use OptimizerNames.ADAMW_TORCH_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 32
+- training_steps: 1080
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.57.1
+- Pytorch 2.8.0+rocm6.4
+- Datasets 4.3.0
+- Tokenizers 0.22.1

added_tokens.json

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+}

chat_template.jinja

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+{%- for idx in range(0, messages|length) -%}
+{%- set message = messages[idx] -%}
+{%- if message['role'] == 'system' -%}
+{{- bos_token + '[INST] <<SYS>>\n' + message['content'] + '\n<</SYS>>\n\n' -}}
+{%- elif message['role'] == 'user' -%}
+{%- if idx > 0 and messages[idx-1]['role'] == 'system' -%}
+{{- message['content'] + ' [/INST]' -}}
+{%- else -%}
+{{- bos_token + '[INST] ' + message['content'] + ' [/INST]' -}}
+{%- endif -%}
+{%- elif message['role'] == 'assistant' -%}
+{{- ' '  + message['content'] + ' ' + eos_token -}}
+{%- endif -%}
+{% endfor %}

config.json

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+{
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "dtype": "bfloat16",
+  "eos_token_id": 2,
+  "head_dim": null,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 32768,
+  "model_type": "mistral",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "pad_token_id": 0,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 10000.0,
+  "sliding_window": 4096,
+  "tie_word_embeddings": false,
+  "transformers_version": "4.57.1",
+  "use_cache": false,
+  "vocab_size": 120128
+}

debug.log

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+
+[2025-11-22 19:00:00,521] [WARNING] [py.warnings._showwarnmsg:112] [PID:2734271] /root/axolotl/axolotl/src/axolotl/utils/distributed.py:250: UserWarning: expandable_segments not supported on this platform (Triggered internally at /pytorch/c10/hip/HIPAllocatorConfig.h:36.)
+  value_tensor = torch.tensor(
+
+[2025-11-22 19:00:02,860] [WARNING] [py.warnings._showwarnmsg:112] [PID:2734271] /root/miniforge3/envs/axolotl/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py:4807: UserWarning: No device id is provided via `init_process_group` or `barrier `. Using the current device set by the user. 
+  warnings.warn(  # warn only once
+
+
+[2025-11-22 19:00:16,506] [WARNING] [py.warnings._showwarnmsg:112] [PID:2734271] /root/miniforge3/envs/axolotl/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py:4807: UserWarning: No device id is provided via `init_process_group` or `barrier `. Using the current device set by the user. 
+  warnings.warn(  # warn only once
+
+

generation_config.json

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+  "bos_token_id": 1,
+  "do_sample": true,
+  "eos_token_id": [
+    2
+  ],
+  "pad_token_id": 0,
+  "transformers_version": "4.57.1",
+  "use_cache": false
+}

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