End of training

README.md

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+---
+base_model: pszemraj/llama-3-prune_8
+tags:
+- axolotl
+- generated_from_trainer
+model-index:
+- name: Llama-3-6.3b-v0.1
+  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/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/llama-3-prune_8
+model_type: LlamaForCausalLM
+tokenizer_type: AutoTokenizer
+
+strict: false
+seed: 80085
+
+# dataset
+datasets:
+    - path: BEE-spoke-data/KI-smorgasbord_fw-small
+      type: completion # format from earlier
+      field: text # Optional[str] default: text, field to use for completion data
+val_set_size: 0.015
+
+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: Llama-3-6.3b-v0.1
+hub_model_id: pszemraj/Llama-3-6.3b-v0.1
+hub_strategy: every_save
+
+gradient_accumulation_steps: 16
+micro_batch_size: 1
+num_epochs: 1
+optimizer: adamw_torch_fused # paged_adamw_32bit
+weight_decay: 0.05
+lr_scheduler: cosine
+learning_rate: 4e-5
+warmup_ratio: 0.1
+
+load_in_8bit: false
+load_in_4bit: false
+bfloat16: true
+tf32: true
+
+flash_attention: true
+torch_compile: true # requires >= torch 2.0, may sometimes cause problems
+torch_compile_backend: inductor # Optional[str]
+gradient_checkpointing: true
+gradient_checkpointing_kwargs:
+  use_reentrant: false
+
+# hyperparams for freq of evals, saving, etc
+evals_per_epoch: 5
+saves_per_epoch: 3
+save_safetensors: true
+save_total_limit: 1
+output_dir: ./output-axolotl/output-model-6.3b
+logging_steps: 8
+
+deepspeed:
+
+special_tokens:
+  pad_token: <|end_of_text|>
+
+```
+
+</details><br>
+
+# Llama-3-6.3b-v0.1
+
+This model is a fine-tuned version of [pszemraj/llama-3-prune_8](https://huggingface.co/pszemraj/llama-3-prune_8) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.2702
+
+## 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: 4e-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: 129
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| No log        | 0.0006 | 1    | 7.8100          |
+| 2.2782        | 0.2002 | 320  | 2.3728          |
+| 2.2699        | 0.4004 | 640  | 2.3265          |
+| 2.3761        | 0.6006 | 960  | 2.2849          |
+| 2.2448        | 0.8008 | 1280 | 2.2702          |
+
+
+### Framework versions
+
+- Transformers 4.40.2
+- Pytorch 2.2.2+cu118
+- Datasets 2.19.1
+- Tokenizers 0.19.1

generation_config.json

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+  "_from_model_config": true,
+  "bos_token_id": 128000,
+  "do_sample": true,
+  "eos_token_id": 128001,
+  "transformers_version": "4.40.2"
+}

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