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Model: shisa-ai/shisa-v2.1c-lfm2-350m-sft3
Source: Original Platform

README.md

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+---
+library_name: transformers
+license: other
+base_model: LiquidAI/LFM2-350M-ENJP-MT
+tags:
+- generated_from_trainer
+datasets:
+- chotto-20251010.sft.jsonl
+model-index:
+- name: data/outputs/shisa-v2.1c-lfm2-350m-sft2
+  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
+base_model: LiquidAI/LFM2-350M-ENJP-MT
+
+chunked_cross_entropy: true
+
+eot_tokens:
+  - "<|im_end|>"
+datasets:
+  - path: chotto-20251010.sft.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"]
+dataset_prepared_path: last_run_prepared_sft
+output_dir: /data/outputs/shisa-v2.1c-lfm2-350m-sft2
+
+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: liquid-hackathon-tokyo
+wandb_name: "shisa-v2.1c-lfm2-350m-sft2"
+
+# GBS = 128 / 8 GPU / 16 MBS / 1 GAS
+gradient_accumulation_steps: 1
+micro_batch_size: 16
+num_epochs: 4
+optimizer: adamw_torch_4bit
+lr_scheduler: cosine
+learning_rate: 6e-5 # 4.78 @ GBS=128
+
+train_on_inputs: false
+group_by_length: false
+bf16: true
+tf32: false
+
+gradient_checkpointing: true
+gradient_checkpointing_kwargs:
+  use_reentrant: false
+logging_steps: 1
+
+warmup_ratio: 0.03
+saves_per_epoch: 1
+
+deepspeed: zero3_bf16.json
+weight_decay: 1e-4
+
+```
+
+</details><br>
+
+# data/outputs/shisa-v2.1c-lfm2-350m-sft2
+
+This model is a fine-tuned version of [LiquidAI/LFM2-350M-ENJP-MT](https://huggingface.co/LiquidAI/LFM2-350M-ENJP-MT) on the chotto-20251010.sft.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: 6e-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_4BIT 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: 69
+- training_steps: 2332
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.57.0
+- Pytorch 2.8.0+rocm6.4
+- Datasets 4.1.1
+- Tokenizers 0.22.1