End of training

README.md

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+---
+license: apache-2.0
+base_model: pszemraj/Mistral-7B-v0.3-prune6
+tags:
+- axolotl
+- generated_from_trainer
+model-index:
+- name: Mistral-v0.3-6B-ii
+  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: `0.4.0`
+```yaml
+base_model: pszemraj/Mistral-7B-v0.3-prune6
+model_type: MistralForCausalLM
+tokenizer_type: LlamaTokenizer
+
+strict: false
+seed: 80085
+max_steps: 2000
+# dataset
+datasets:
+    - path: BEE-spoke-data/knowledge-inoc-concat-v1
+      name: smorgasbord-tb-quality
+      type: completion 
+      field: text 
+val_set_size: 0.01
+
+sequence_len: 4096
+sample_packing: true
+pad_to_sequence_len: false
+train_on_inputs: false
+group_by_length: false
+
+# WANDB
+wandb_project: llama3-pruning
+wandb_entity: pszemraj
+wandb_watch: gradients
+wandb_name: Mistral-6B-v0.3-v0.1-ii
+hub_model_id: pszemraj/Mistral-v0.3-6B-ii
+hub_strategy: every_save
+
+gradient_accumulation_steps: 16
+micro_batch_size: 1
+num_epochs: 1
+optimizer: paged_adamw_32bit
+weight_decay: 0.1
+lr_scheduler: cosine
+learning_rate: 2e-5
+warmup_ratio: 0.1
+
+load_in_8bit: false
+load_in_4bit: false
+bfloat16: true
+tf32: true
+
+flash_attention: true
+torch_compile: true 
+torch_compile_backend: inductor 
+gradient_checkpointing: true
+gradient_checkpointing_kwargs:
+  use_reentrant: false
+
+# hyperparams for freq of evals, saving, etc
+evals_per_epoch: 5
+saves_per_epoch: 5
+save_safetensors: true
+save_total_limit: 1
+output_dir: /workspace/output-axolotl/output-model-6b
+logging_steps: 6
+
+deepspeed:
+
+special_tokens:
+
+```
+
+</details><br>
+
+# Mistral-v0.3-6B-ii
+
+This model is a fine-tuned version of [pszemraj/Mistral-7B-v0.3-prune6](https://huggingface.co/pszemraj/Mistral-7B-v0.3-prune6) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.2860
+
+## 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: 1
+- eval_batch_size: 1
+- seed: 80085
+- gradient_accumulation_steps: 16
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 200
+- training_steps: 2000
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| No log        | 0.0002 | 1    | 1.5980          |
+| 1.578         | 0.0955 | 400  | 1.4028          |
+| 1.5828        | 0.1911 | 800  | 1.3809          |
+| 1.4355        | 0.2866 | 1200 | 1.3152          |
+| 1.4618        | 0.3822 | 1600 | 1.2877          |
+| 1.4551        | 0.4777 | 2000 | 1.2860          |
+
+
+### Framework versions
+
+- Transformers 4.40.2
+- Pytorch 2.3.0+cu118
+- Datasets 2.19.1
+- Tokenizers 0.19.1

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