End of training

README.md

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+---
+library_name: transformers
+license: gemma
+base_model: google/gemma-2-2b
+tags:
+- axolotl
+- generated_from_trainer
+model-index:
+- name: gemma-2-2b-magpie-gemma2-9b-flash
+  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: google/gemma-2-2b
+model_type: Gemma2ForCausalLM
+tokenizer_type: AutoTokenizer
+chat_template: gemma
+
+load_in_8bit: false
+load_in_4bit: false
+strict: false
+
+datasets:
+  - path: flydust/Magpie-100k-Gemma2-9B
+    type: sharegpt
+    chat_template: gemma
+dataset_prepared_path: last_run_prepared
+val_set_size: 0.001
+output_dir: axolotl_out/gemma-2-2b-magpie-gemma2-9b-flash
+
+sequence_len: 4096
+sample_packing: true
+eval_sample_packing: false
+pad_to_sequence_len: true
+
+wandb_project: SynDa
+wandb_entity:
+wandb_watch:
+wandb_name: gemma-2-2b-magpie-gemma2-9b-flash
+wandb_log_model:
+hub_model_id: flydust/gemma-2-2b-magpie-gemma2-9b-flash
+
+gradient_accumulation_steps: 8
+micro_batch_size: 1
+num_epochs: 2
+optimizer: paged_adamw_8bit
+lr_scheduler: cosine
+learning_rate: 2e-5
+
+train_on_inputs: false
+group_by_length: false
+bf16: true
+fp16:
+tf32: false
+
+gradient_checkpointing: true
+gradient_checkpointing_kwargs:
+  use_reentrant: false
+early_stopping_patience:
+resume_from_checkpoint:
+logging_steps: 1
+xformers_attention:
+# Disable flash attention
+flash_attention: true
+# sdp_attention: falses
+# eager_attention: true
+
+warmup_ratio: 0.1
+evals_per_epoch: 5
+eval_table_size:
+saves_per_epoch: 1
+debug:
+deepspeed:
+weight_decay: 0.0
+fsdp:
+fsdp_config:
+special_tokens:
+
+```
+
+</details><br>
+
+# gemma-2-2b-magpie-gemma2-9b-flash
+
+This model is a fine-tuned version of [google/gemma-2-2b](https://huggingface.co/google/gemma-2-2b) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6632
+
+## 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: 42
+- distributed_type: multi-GPU
+- num_devices: 4
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 32
+- total_eval_batch_size: 4
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 86
+- num_epochs: 2
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 1.0962        | 0.0023 | 1    | 1.1980          |
+| 0.7173        | 0.2012 | 87   | 0.7592          |
+| 0.6728        | 0.4023 | 174  | 0.7202          |
+| 0.6686        | 0.6035 | 261  | 0.6960          |
+| 0.604         | 0.8046 | 348  | 0.6751          |
+| 0.4864        | 1.0038 | 435  | 0.6656          |
+| 0.4762        | 1.2049 | 522  | 0.6694          |
+| 0.4573        | 1.4061 | 609  | 0.6661          |
+| 0.468         | 1.6072 | 696  | 0.6629          |
+| 0.453         | 1.8084 | 783  | 0.6632          |
+
+
+### Framework versions
+
+- Transformers 4.45.0.dev0
+- Pytorch 2.4.1+cu121
+- Datasets 2.21.0
+- Tokenizers 0.19.1

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 2,
+  "cache_implementation": "hybrid",
+  "do_sample": true,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.45.0.dev0"
+}

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