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README.md

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+---
+library_name: transformers
+tags:
+- generated_from_trainer
+datasets:
+- 2025-01_conversations_truncated.jsonl
+model-index:
+- name: outputs/
+  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: `0.6.0`
+```yaml
+base_model: ./meta-llama_Llama-3.2-3B
+# optionally might have model_type or tokenizer_type
+model_type: LlamaForCausalLM
+tokenizer_type: AutoTokenizer
+# Automatically upload checkpoint and final model to HF
+# hub_model_id: username/custom_model_name
+
+load_in_8bit: false
+load_in_4bit: false
+strict: false
+
+datasets:
+  - path: 2025-01_conversations_truncated.jsonl
+    type: chat_template
+    chat_template: llama3
+    field_messages: conversations
+    message_field_role: from
+    message_field_content: value
+    roles:
+      user:
+        - human
+      assistant:
+        - gpt
+      system:
+        - system
+dataset_prepared_path:
+val_set_size: 0.05
+output_dir: ./outputs/
+dataset_prepared_path: last_run_prepared
+
+sequence_len: 4096
+eval_sample_packing: false
+sample_packing: true
+pad_to_sequence_len: true
+
+wandb_project: JVCGPT Light 3b base
+wandb_entity:
+wandb_watch:
+wandb_name:
+wandb_log_model:
+
+gradient_accumulation_steps: 4
+micro_batch_size: 2
+num_epochs: 4
+optimizer: paged_adamw_8bit
+lr_scheduler: cosine
+learning_rate: 0.000007
+
+train_on_inputs: true
+group_by_length: false
+bf16: auto
+fp16:
+tf32: false
+
+gradient_checkpointing: unsloth
+early_stopping_patience:
+resume_from_checkpoint:
+local_rank:
+logging_steps: 1
+xformers_attention:
+flash_attention: true
+s2_attention:
+
+warmup_steps: 100
+eval_table_size:
+saves_per_epoch: 2
+debug:
+deepspeed:
+weight_decay: 0.0
+fsdp:
+fsdp_config:
+special_tokens:
+   pad_token: <|end_of_text|>
+save_safetensors: true
+save_total_limit: 10
+```
+
+</details><br>
+
+# outputs/
+
+This model was trained from scratch on the 2025-01_conversations_truncated.jsonl dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.1520
+
+## 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: 7e-06
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 4
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 32
+- total_eval_batch_size: 8
+- 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: cosine
+- lr_scheduler_warmup_steps: 100
+- num_epochs: 4
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 0.6055        | 1.0006 | 789  | 1.1893          |
+| 0.5619        | 2.0006 | 1578 | 1.1576          |
+| 0.4873        | 3.0006 | 2367 | 1.1522          |
+| 1.2133        | 3.9917 | 3148 | 1.1520          |
+
+
+### Framework versions
+
+- Transformers 4.47.1
+- Pytorch 2.5.1+cu124
+- Datasets 3.2.0
+- Tokenizers 0.21.0

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