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Model: shisa-ai/ablation-175-finalsft2-shisa-v2-llama-3.1-8b Source: Original Platform
2026-04-27 21:27:56 +08:00
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+---
+library_name: transformers
+license: llama3.1
+base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
+tags:
+- generated_from_trainer
+datasets:
+- shisa-ai/shisa-v2-best-of-n-athenev2-tulu70b-llama33-only-no-sysprompt
+- shisa-ai/shisa-v2-roleplaying-sft
+- shisa-ai/translation_set_april_6
+- shisa-ai/rewild-set-deepseek-subset
+- shisa-ai/magpie-ultra-set
+- shisa-ai/magpie-advanced-questions-set
+- shisa-ai/japan-magpie-set
+- shisa-ai/shisa-v2-instruction-following-sft
+model-index:
+- name: outputs/ablation-175-finalsft2-shisa-v2-llama-3.1-8b
+  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: `0.8.0.dev0`
+```yaml
+# train w/ shisa-ai/shisa-v1-athenev2-reannotated-filtered
+
+base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
+model_type: LlamaForCausalLM
+tokenizer_type: AutoTokenizer
+
+load_in_8bit: false
+load_in_4bit: false
+strict: false
+
+# User Liger
+plugins:
+  - axolotl.integrations.liger.LigerPlugin
+liger_rope: true
+liger_rms_norm: true
+liger_glu_activation: true
+liger_fused_linear_cross_entropy: true
+
+chat_template: llama3
+datasets:
+  - path: shisa-ai/shisa-v2-best-of-n-athenev2-tulu70b-llama33-only-no-sysprompt
+    type: chat_template
+    field_messages: conversations
+    message_field_role: from
+    message_field_content: value
+  - path: shisa-ai/shisa-v2-roleplaying-sft
+    type: chat_template
+    field_messages: conversations
+    message_property_mappings:
+      role: role
+      content: content
+    roles:
+      system:
+        - system
+      assistant:
+        - gpt
+        - model
+        - assistant
+      user:
+        - human
+        - user
+    roles_to_train: ["assistant"]
+  - path: shisa-ai/translation_set_april_6
+    split: train[:25%]
+    type: chat_template
+    field_messages: conversations
+    message_property_mappings:
+      role: role
+      content: content
+    roles:
+      system:
+        - system
+      assistant:
+        - gpt
+        - model
+        - assistant
+      user:
+        - human
+        - user
+    roles_to_train: ["assistant"]
+  - path: shisa-ai/rewild-set-deepseek-subset
+    split: train[:25%]
+    type: chat_template
+    field_messages: conversations
+    message_property_mappings:
+      role: role
+      content: content
+    roles:
+      system:
+        - system
+      assistant:
+        - gpt
+        - model
+        - assistant
+      user:
+        - human
+        - user
+    roles_to_train: ["assistant"]
+  - path: shisa-ai/magpie-ultra-set
+    split: train[:8%]
+    type: chat_template
+    field_messages: conversations
+    message_property_mappings:
+      role: role
+      content: content
+    roles:
+      system:
+        - system
+      assistant:
+        - gpt
+        - model
+        - assistant
+      user:
+        - human
+        - user
+    roles_to_train: ["assistant"]
+  - path: shisa-ai/magpie-advanced-questions-set
+    split: train[:8%]
+    type: chat_template
+    field_messages: conversations
+    message_property_mappings:
+      role: role
+      content: content
+    roles:
+      system:
+        - system
+      assistant:
+        - gpt
+        - model
+        - assistant
+      user:
+        - human
+        - user
+    roles_to_train: ["assistant"]
+  - path: shisa-ai/japan-magpie-set
+    split: train
+    type: chat_template
+    field_messages: conversations
+    message_property_mappings:
+      role: role
+      content: content
+    roles:
+      system:
+        - system
+      assistant:
+        - gpt
+        - model
+        - assistant
+      user:
+        - human
+        - user
+    roles_to_train: ["assistant"]
+  - path: shisa-ai/shisa-v2-instruction-following-sft
+    split: train[:50%]
+    type: chat_template
+    field_messages: conversations
+    message_property_mappings:
+      role: role
+      content: content
+    roles:
+      system:
+        - system
+      assistant:
+        - gpt
+        - model
+        - assistant
+      user:
+        - human
+        - user
+    roles_to_train: ["assistant"]
+    
+dataset_prepared_path: last_run_prepared
+val_set_size: 0.05
+output_dir: ./outputs/ablation-175-finalsft2-shisa-v2-llama-3.1-8b
+
+sequence_len: 8192
+sample_packing: true
+pad_to_sequence_len: true
+
+# marginal difference
+neftune_noise_alpha: 5
+
+use_wandb: true
+wandb_project: shisa-v2
+wandb_entity: augmxnt
+wandb_name: ablation-175-finalsft2-shisa-v2-llama-3.1-8b
+
+gradient_accumulation_steps: 1
+micro_batch_size: 4
+num_epochs: 3
+optimizer: paged_adamw_8bit
+lr_scheduler: linear
+learning_rate: 1e-5
+
+train_on_inputs: false
+group_by_length: false
+bf16: auto
+fp16:
+tf32: false
+
+gradient_checkpointing: true
+gradient_checkpointing_kwargs:
+  use_reentrant: false
+early_stopping_patience:
+resume_from_checkpoint:
+logging_steps: 1
+xformers_attention:
+flash_attention: true
+
+warmup_steps: 100
+evals_per_epoch: 2
+eval_table_size:
+saves_per_epoch: 0
+save_total_limit: 1 # Only store a single checkpoint
+debug:
+deepspeed: zero3_bf16.json
+weight_decay: 1e-4
+fsdp:
+fsdp_config:
+special_tokens:
+  pad_token: <|end_of_text|>
+
+```
+
+</details><br>
+
+# outputs/ablation-175-finalsft2-shisa-v2-llama-3.1-8b
+
+This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct) on the shisa-ai/shisa-v2-best-of-n-athenev2-tulu70b-llama33-only-no-sysprompt, the shisa-ai/shisa-v2-roleplaying-sft, the shisa-ai/translation_set_april_6, the shisa-ai/rewild-set-deepseek-subset, the shisa-ai/magpie-ultra-set, the shisa-ai/magpie-advanced-questions-set, the shisa-ai/japan-magpie-set and the shisa-ai/shisa-v2-instruction-following-sft datasets.
+It achieves the following results on the evaluation set:
+- Loss: 0.6891
+
+## 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: 4
+- eval_batch_size: 4
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 32
+- total_train_batch_size: 128
+- total_eval_batch_size: 128
+- optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 100
+- num_epochs: 3.0
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 1.0975        | 0.0026 | 1    | 1.0941          |
+| 0.7721        | 0.5    | 191  | 0.7590          |
+| 0.7161        | 1.0    | 382  | 0.7142          |
+| 0.6348        | 1.5    | 573  | 0.6998          |
+| 0.6261        | 2.0    | 764  | 0.6868          |
+| 0.5672        | 2.5    | 955  | 0.6927          |
+| 0.536         | 3.0    | 1146 | 0.6891          |
+
+
+### Framework versions
+
+- Transformers 4.50.0
+- Pytorch 2.6.0+cu124
+- Datasets 3.4.1
+- Tokenizers 0.21.1