End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: ibm-granite/granite-3.0-1b-a400m-base
+tags:
+- axolotl
+- generated_from_trainer
+model-index:
+- name: sexy-moe-girl_400MA_1BT-ckpts
+  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: `0.4.1`
+```yaml
+# Weights and Biases logging coinfig
+wandb_project: sexy-moe-girl_400MA_1BT-2
+# wandb_entity:
+# wandb_watch: all
+wandb_name: v1
+# wandb_log_model:
+
+# Model architecture config
+base_model: ibm-granite/granite-3.0-1b-a400m-base
+model_type: AutoModelForCausalLM
+tokenizer_type: AutoTokenizer
+
+# Hugging Face saving config
+hub_model_id: allura-org/sexy-moe-girl_400MA_1BT-ckpts
+hub_strategy: every_save
+push_dataset_to_hub:
+hf_use_auth_token: true
+
+# Model checkpointing config
+output_dir: out
+resume_from_checkpoint:
+save_steps:
+saves_per_epoch: 5
+save_safetensors: true
+save_total_limit: 5
+
+# Mixed precision training config
+bf16: true
+fp16: false
+tf32: false
+
+# Model loading config
+load_in_8bit: false
+load_in_4bit: false
+strict: false
+
+# Sequence config
+sequence_len: 8192
+s2_attention: false
+sample_packing: true # true # false
+eval_sample_packing: false # true
+pad_to_sequence_len: false #true # false
+train_on_inputs: true
+group_by_length: false
+
+# Unfrozen parameters for FFT
+unfrozen_parameters:
+
+# Dataset config
+chat_template: chatml
+datasets:
+  - path: Fizzarolli/special-sauce
+    type: sharegpt
+    chat_template: chatml
+#val_set_size: 0.05
+# evaluation_strategy: steps
+# eval_steps:
+#evals_per_epoch: 5
+# test_datasets:
+dataset_prepared_path: last_run_prepared
+shuffle_merged_datasets: true
+
+# Training hyperparameters
+num_epochs: 2
+gradient_accumulation_steps: 4
+micro_batch_size: 8
+warmup_steps: 150
+optimizer: schedule_free_adamw
+lr_scheduler: constant_with_warmup
+learning_rate: 0.00002
+weight_decay: 0.1
+max_grad_norm: 1.0
+logging_steps: 1
+
+# # Model optimization / unsloth ---- INSTALL UNSLOTH
+gradient_checkpointing: unsloth
+#
+# unsloth_cross_entropy_loss: true
+# unsloth_lora_mlp: true
+# unsloth_lora_qkv: true
+# unsloth_lora_o: true
+#plugins:
+#  - axolotl.integrations.liger.LigerPlugin
+#liger_rope: true
+#liger_rms_norm: true
+#liger_swiglu: true
+#liger_fused_linear_cross_entropy: true
+
+xformers_attention: false
+flash_attention: true
+sdp_attention: false
+
+# Loss monitoring config
+early_stopping_patience: false
+loss_watchdog_threshold: 100.0
+loss_watchdog_patience: 3
+
+# Debug config
+debug: true
+seed: 1001 # 42
+
+special_tokens:
+  eos_token: "<|im_end|>"
+  bos_token: "<|endoftext|>"
+tokens: # these are delimiters
+  - "<|im_start|>"
+
+# Don't mess with this, it's here for accelerate and torchrun
+local_rank:
+
+```
+
+</details><br>
+
+# sexy-moe-girl_400MA_1BT-ckpts
+
+This model is a fine-tuned version of [ibm-granite/granite-3.0-1b-a400m-base](https://huggingface.co/ibm-granite/granite-3.0-1b-a400m-base) on the None 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: 2e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 1001
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: constant_with_warmup
+- lr_scheduler_warmup_steps: 150
+- num_epochs: 2
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.45.2
+- Pytorch 2.4.1+cu124
+- Datasets 3.0.1
+- Tokenizers 0.20.1