End of training

README.md

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+---
+library_name: transformers
+license: llama3
+base_model: meta-llama/Meta-Llama-3-8B
+tags:
+- axolotl
+- generated_from_trainer
+model-index:
+- name: L3-Pneuma-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: `0.4.1`
+```yaml
+base_model: meta-llama/Meta-Llama-3-8B
+
+load_in_8bit: false
+load_in_4bit: false
+strict: false
+
+load_in_8bit: false
+load_in_4bit: false
+strict: false
+
+datasets:
+  - path: Kquant03/Sandevistan_Reformat
+    type: customllama3_stan
+dataset_prepared_path: last_run_prepared
+val_set_size: 0.05
+output_dir: ./outputs/out
+max_steps: 80000
+
+fix_untrained_tokens: true
+
+sequence_len: 4096
+sample_packing: true
+pad_to_sequence_len: true
+
+wandb_project: Pneuma
+wandb_entity: 
+wandb_watch:
+wandb_name:
+wandb_log_model:
+
+gradient_accumulation_steps: 16
+micro_batch_size: 8
+num_epochs: 1
+optimizer: paged_adamw_8bit
+lr_scheduler: cosine
+learning_rate: 0.00001
+max_grad_norm: 1
+
+train_on_inputs: false
+group_by_length: false
+bf16: auto
+fp16:
+tf32: false
+
+gradient_checkpointing: unsloth
+early_stopping_patience:
+resume_from_checkpoint:
+logging_steps: 1
+xformers_attention:
+flash_attention: true
+eval_sample_packing: false
+
+plugins:
+  - axolotl.integrations.liger.LigerPlugin
+liger_rope: true
+liger_rms_norm: true
+liger_swiglu: true
+liger_fused_linear_cross_entropy: true
+
+hub_model_id: Replete-AI/L3-Pneuma-8B
+hub_strategy: every_save
+
+warmup_steps: 10
+evals_per_epoch: 3
+eval_table_size:
+saves_per_epoch: 3
+debug:
+deepspeed:
+weight_decay: 0.1
+fsdp:
+fsdp_config:
+special_tokens:
+  bos_token: "<|begin_of_text|>"
+  eos_token: "<|end_of_text|>"
+  pad_token: "<|end_of_text|>"
+tokens:
+```
+
+</details><br>
+
+# L3-Pneuma-8B
+
+This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.7381
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 16
+- total_train_batch_size: 128
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 10
+- training_steps: 743
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 1.0378        | 0.0013 | 1    | 3.0437          |
+| 0.6816        | 0.3334 | 248  | 2.7341          |
+| 0.6543        | 0.6667 | 496  | 2.7381          |
+
+
+### Framework versions
+
+- Transformers 4.45.1
+- Pytorch 2.3.1+cu121
+- Datasets 2.21.0
+- Tokenizers 0.20.1

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