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Model: Heralax/Augmentoolkit-DataSpecialist-v0.1
Source: Original Platform

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README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: Heralax/datagen-pretrain-v1-7b-mistralv0.2
+tags:
+- axolotl
+- generated_from_trainer
+datasets:
+- 29_mil_asstr.jsonl
+- 40mil_gutenberg.jsonl
+- hle-1_formatted_2mil.jsonl
+- 11_mil_fineweb.jsonl
+- multiturn_segments_shard_01.json
+- multiturn_segments_shard_02.json
+- singleturn_segments_shard_01.json
+- singleturn_segments_shard_02.json
+- openhermes2_5_shard_01.json
+- openhermes2_5_shard_02.json
+- openthoughts-1.parquet
+- openthoughts-2.parquet
+- qwq_10million.jsonl
+- bluemoon-6mil.json
+model-index:
+- name: datagen-sft-1
+  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: `0.10.0.dev0`
+```yaml
+base_model: Heralax/datagen-pretrain-v1-7b-mistralv0.2
+tokenizer_type: AutoTokenizer
+model_type: AutoModelForCausalLM
+is_mistral_derived_model: true
+load_in_8bit: false
+load_in_4bit: false
+strict: false
+
+datasets:
+  - path: 29_mil_asstr.jsonl
+    ds_type: json
+    type: completion
+  - path: 40mil_gutenberg.jsonl
+    type: completion
+  - path: hle-1_formatted_2mil.jsonl
+    type: completion
+  - path: 11_mil_fineweb.jsonl
+    type: completion
+  - path: multiturn_segments_shard_01.json
+    type: input_output
+  - path: multiturn_segments_shard_02.json
+    type: input_output
+  - path: singleturn_segments_shard_01.json
+    type: input_output
+  - path: singleturn_segments_shard_02.json
+    type: input_output
+  - path: openhermes2_5_shard_01.json
+    type: chat_template
+    chat_template: chatml
+    field_messages: conversations
+    message_field_role: from
+    message_field_content: value
+    roles:
+      user:
+        - human
+      assistant:
+        - gpt
+      system:
+        - system
+  - path: openhermes2_5_shard_02.json
+    type: chat_template
+    chat_template: chatml
+    field_messages: conversations
+    message_field_role: from
+    message_field_content: value
+    roles:
+      user:
+        - human
+      assistant:
+        - gpt
+      system:
+        - system
+  - path: openthoughts-1.parquet
+    type: chat_template
+    chat_template: chatml
+    field_messages: conversations
+    message_field_role: from
+    message_field_content: value
+    roles:
+      user:
+        - user
+      assistant:
+        - assistant
+      system:
+        - system
+  - path: openthoughts-2.parquet
+    type: chat_template
+    chat_template: chatml
+    field_messages: conversations
+    message_field_role: from
+    message_field_content: value
+    roles:
+      user:
+        - user
+      assistant:
+        - assistant
+      system:
+        - system
+  - path: qwq_10million.jsonl
+    type: chat_template
+    chat_template: chatml
+    field_messages: conversations
+    message_field_role: from
+    message_field_content: value
+    roles:
+      user:
+        - human
+      assistant:
+        - gpt
+      system:
+        - system
+  - path: bluemoon-6mil.json
+    type: chat_template
+    chat_template: chatml
+    field_messages: conversations
+    message_field_role: from
+    message_field_content: value
+    roles:
+      user:
+        - human
+      assistant:
+        - gpt
+      system:
+        - system
+dataset_prepared_path: last_run_prepared
+output_dir: ./datagen-pretrain-v1-7b-mistralv0.2
+seed: 11037
+hub_model_id: datagen-sft-1
+hub_strategy: every_save
+
+sequence_len: 20000
+sample_packing: true
+pad_to_sequence_len: false
+shuffle_merged_datasets: true
+
+wandb_project: datagen-pretrain-v1-7b-mistralv0.2
+wandb_entity:
+wandb_watch:
+wandb_run_id: 
+wandb_log_model:
+
+
+gradient_accumulation_steps: 50
+micro_batch_size: 3
+eval_batch_size: 1
+num_epochs: 2
+optimizer: paged_adamw_8bit
+lr_scheduler: constant
+learning_rate: 0.000020
+weight_decay: 0
+train_on_inputs: true
+group_by_length: false
+bf16: true
+fp16: false
+tf32: false
+
+gradient_checkpointing: true
+early_stopping_patience:
+resume_from_checkpoint: 
+logging_steps: 1
+xformers_attention: false # faster
+flash_attention: true # slower than xformers
+
+chat_template: chatml
+
+# warmup_ratio: 0.5
+# warmup_steps: 0
+auto_resume_from_checkpoints: false
+warmup_ratio: 0.1
+evals_per_epoch: 1
+eval_batch_size: 4
+val_set_size: 0.01
+save_steps: 1000
+eval_sample_packing: false
+save_total_limit: 2 # NOTE you can afford many more saves with this config due to not storing optimizer states like with normal ones I think.
+debug:
+special_tokens:
+  pad_token: "<unk>"
+
+use_liger_kernel: true
+
+
+plugins:
+  - axolotl.integrations.liger.LigerPlugin
+liger_rope: true
+liger_rms_norm: true
+liger_glu_activation: true
+liger_layer_norm: true
+liger_fused_linear_cross_entropy: true
+
+
+```
+
+</details><br>
+
+# datagen-sft-1
+
+This model is a fine-tuned version of [Heralax/datagen-pretrain-v1-7b-mistralv0.2](https://huggingface.co/Heralax/datagen-pretrain-v1-7b-mistralv0.2) on the 29_mil_asstr.jsonl, the 40mil_gutenberg.jsonl, the hle-1_formatted_2mil.jsonl, the 11_mil_fineweb.jsonl, the multiturn_segments_shard_01.json, the multiturn_segments_shard_02.json, the singleturn_segments_shard_01.json, the singleturn_segments_shard_02.json, the openhermes2_5_shard_01.json, the openhermes2_5_shard_02.json, the openthoughts-1.parquet, the openthoughts-2.parquet, the qwq_10million.jsonl and the bluemoon-6mil.json datasets.
+It achieves the following results on the evaluation set:
+- Loss: 0.6304
+
+## 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: 2e-05
+- train_batch_size: 3
+- eval_batch_size: 4
+- seed: 11037
+- gradient_accumulation_steps: 50
+- total_train_batch_size: 150
+- 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: constant
+- lr_scheduler_warmup_steps: 111
+- num_epochs: 2.0
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 1.4533        | 0.0018 | 1    | 2.4612          |
+| 0.5531        | 0.9999 | 558  | 0.6706          |
+| 0.5148        | 1.9981 | 1116 | 0.6304          |
+
+
+### Framework versions
+
+- Transformers 4.51.3
+- Pytorch 2.6.0+cu124
+- Datasets 3.5.0
+- Tokenizers 0.21.1

config.json

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+{
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "head_dim": 128,
+  "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,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 1000000.0,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.51.3",
+  "use_cache": false,
+  "vocab_size": 32768
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "do_sample": true,
+  "eos_token_id": 2,
+  "transformers_version": "4.51.3"
+}

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