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End of training

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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: mistralai/Mistral-7B-v0.3
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+ tags:
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+ - axolotl
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+ - generated_from_trainer
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+ model-index:
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+ - name: Mistral-7B-v0.3-sarcasm-scrolls-v2
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ [<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)
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+ <details><summary>See axolotl config</summary>
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+
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+ axolotl version: `0.4.1`
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+ ```yaml
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+ base_model: mistralai/Mistral-7B-v0.3
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+ model_type: MistralForCausalLM
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+ tokenizer_type: LlamaTokenizer
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+
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+ strict: false
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+
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+ # dataset
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+ datasets:
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+ - path: BEE-spoke-data/sarcasm-scrolls
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+ type: completion # format from earlier
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+ field: text
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+ val_set_size: 200
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+
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+ sequence_len: 4096
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+ sample_packing: true
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+ pad_to_sequence_len: true
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+ train_on_inputs: false
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+ group_by_length: false
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+
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+ # WANDB
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+ wandb_project: sarcasm-scrolls
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+ wandb_entity: pszemraj
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+ wandb_watch: gradients
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+ wandb_name: Mistral-7B-v0.3-sarcasm-scrolls-v2a
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+ hub_model_id: pszemraj/Mistral-7B-v0.3-sarcasm-scrolls-v2
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+ hub_strategy: every_save
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+
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+ gradient_accumulation_steps: 32
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+ micro_batch_size: 1
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+ num_epochs: 2
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+ optimizer: adamw_torch_fused # paged_adamw_32bit
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+ lr_scheduler: cosine
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+ learning_rate: 2e-5
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+
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+ load_in_8bit: false
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+ load_in_4bit: false
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+ bf16: true
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+ tf32: true
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+
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+ torch_compile: true
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+ torch_compile_backend: inductor # Optional[str]
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+ gradient_checkpointing: true
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+ gradient_checkpointing_kwargs:
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+ use_reentrant: false
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+ early_stopping_patience:
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+ logging_steps: 3
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+ xformers_attention:
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+ flash_attention: true
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+
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+ warmup_steps: 20
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+ # hyperparams for freq of evals, saving, etc
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+ evals_per_epoch: 4
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+ saves_per_epoch: 4
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+ save_safetensors: true
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+ save_total_limit: 1 # Checkpoints saved at a time
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+ output_dir: ./output-axolotl/output-model-chaz
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+ resume_from_checkpoint:
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+
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+
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+ deepspeed:
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+ weight_decay: 0.06
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+
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+ special_tokens:
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+
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+ ```
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+
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+ </details><br>
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+
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+ # Mistral-7B-v0.3-sarcasm-scrolls-v2
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+
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+ This model is a fine-tuned version of [mistralai/Mistral-7B-v0.3](https://huggingface.co/mistralai/Mistral-7B-v0.3) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 2.3333
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 2e-05
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+ - train_batch_size: 1
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+ - eval_batch_size: 1
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+ - seed: 42
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+ - gradient_accumulation_steps: 32
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+ - total_train_batch_size: 32
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: cosine
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+ - lr_scheduler_warmup_steps: 20
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+ - num_epochs: 2
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:------:|:----:|:---------------:|
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+ | No log | 0.0075 | 1 | 2.3935 |
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+ | 2.3672 | 0.2548 | 34 | 2.3638 |
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+ | 2.3751 | 0.5096 | 68 | 2.3499 |
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+ | 2.308 | 0.7644 | 102 | 2.3238 |
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+ | 2.2672 | 1.0035 | 136 | 2.3027 |
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+ | 1.702 | 1.2583 | 170 | 2.3449 |
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+ | 1.7456 | 1.5131 | 204 | 2.3370 |
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+ | 1.7004 | 1.7679 | 238 | 2.3333 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.41.1
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+ - Pytorch 2.3.1+cu118
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+ - Datasets 2.19.1
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+ - Tokenizers 0.19.1
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+ "do_sample": true,
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+ "eos_token_id": 2,
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+ "transformers_version": "4.41.1"
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+ }
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