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Model: lordspline/mergestein Source: Original Platform
2026-07-11 23:48:17 +08:00
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+---
+base_model: lordspline/mergestein
+tags:
+- axolotl
+- generated_from_trainer
+model-index:
+- name: mergestein
+  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/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
+<details><summary>See axolotl config</summary>
+
+axolotl version: `0.4.1`
+```yaml
+base_model: lordspline/mergestein
+model_type: AutoModelForCausalLM
+tokenizer_type: AutoTokenizer
+
+load_in_8bit: false
+load_in_4bit: false
+strict: false
+
+chat_template: chatml
+datasets:
+  - path: lordspline/scidata
+    type: sharegpt
+    conversation: chatml
+  - path: lordspline/wizard_v2_196k_unfiltered
+    type: sharegpt
+    conversation: chatml
+  - path: lordspline/ultrainteract
+    type: sharegpt
+    conversation: chatml
+  
+dataset_prepared_path: last_run_prepared
+val_set_size: 0.002
+
+output_dir: ./mergestein
+
+sequence_len: 8192
+sample_packing: true
+pad_to_sequence_len: true
+eval_sample_packing: false
+
+wandb_project: mergestein
+wandb_entity:
+wandb_watch:
+wandb_name:
+wandb_log_model:
+hub_model_id: lordspline/mergestein
+
+gradient_accumulation_steps: 1
+micro_batch_size: 1
+num_epochs: 1
+optimizer: paged_adamw_8bit
+lr_scheduler: cosine
+learning_rate: 0.0001 # look
+
+train_on_inputs: false
+group_by_length: false
+bf16: auto
+fp16:
+tf32: false
+
+gradient_checkpointing: unsloth
+gradient_checkpointing_kwargs:
+   use_reentrant: true # look
+early_stopping_patience:
+resume_from_checkpoint: # ./mergestein/checkpoint-8015
+local_rank:
+logging_steps: 1
+xformers_attention:
+flash_attention: true
+
+warmup_steps: 10
+evals_per_epoch: 1
+eval_table_size:
+eval_max_new_tokens: 128
+saves_per_epoch: 300
+debug:
+
+# deepspeed: deepspeed_configs/zero3_bf16.json
+weight_decay: 0.05
+fsdp:
+fsdp_config:
+special_tokens:
+  eos_token: "<|im_end|>"
+  pad_token: "<|end_of_text|>"
+tokens:
+  - "<|im_start|>"
+  - "<|im_end|>"
+```
+
+</details><br>
+
+# mergestein
+
+This model is a fine-tuned version of [lordspline/mergestein](https://huggingface.co/lordspline/mergestein) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.2069
+
+## 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: 1
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 10
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 1.4476        | 1.0   | 48435 | 1.2069          |
+
+
+### Framework versions
+
+- Transformers 4.41.1
+- Pytorch 2.1.0+cu118
+- Datasets 2.19.1
+- Tokenizers 0.19.1