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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-Instruct-v0.2
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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-Instruct-KhanAcademy-v0.2
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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: `0.4.0`
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+ ```yaml
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+ base_model: mistralai/Mistral-7B-Instruct-v0.2
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+ model_type: MistralForCausalLM
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+ tokenizer_type: LlamaTokenizer
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+ is_mistral_derived_model: true
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+
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+
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+ hub_model_id: MaziyarPanahi/Mistral-7B-Instruct-KhanAcademy-v0.2
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+ hf_use_auth_token: true
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+
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+ load_in_8bit: false
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+ load_in_4bit: false
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+ strict: false
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+
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+ datasets:
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+ - path: CohereForAI/aya_dataset
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+ type:
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+ system_prompt: ""
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+ field_instruction: inputs
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+ field_output: targets
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+ format: "[INST] {instruction} [/INST]"
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+ no_input_format: "[INST] {instruction} [/INST]"
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+
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+ dataset_prepared_path:
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+ val_set_size: 0.05
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+ output_dir: ./models/MaziyarPanahi/Mistral-7B-Instruct-Aya-101
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+
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+ sequence_len: 8192
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+ sample_packing: true
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+ pad_to_sequence_len: true
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+ eval_sample_packing: false
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+
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+ wandb_project:
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+ wandb_entity:
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+ wandb_watch:
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+ wandb_name:
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+ wandb_log_model:
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+
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+ gradient_accumulation_steps: 4
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+ micro_batch_size: 2
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+ num_epochs: 1
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+ optimizer: adamw_bnb_8bit
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+ lr_scheduler: cosine
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+ learning_rate: 0.000005
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+
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+ train_on_inputs: false
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+ group_by_length: false
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+ bf16: auto
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+ fp16:
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+ tf32: false
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+
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+ gradient_checkpointing: true
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+ early_stopping_patience:
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+ resume_from_checkpoint:
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+ local_rank:
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+ logging_steps: 1
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+ xformers_attention:
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+ flash_attention: true
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+
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+ warmup_steps: 10
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+ evals_per_epoch: 4
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+ eval_table_size:
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+ eval_max_new_tokens: 128
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+ saves_per_epoch: 1
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+ debug:
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+ deepspeed:
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+ weight_decay: 0.0
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+ fsdp:
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+ fsdp_config:
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+ special_tokens:
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+ bos_token: "<s>"
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+ eos_token: "</s>"
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+ unk_token: "<unk>"
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+ ```
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+
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+ </details><br>
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+
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+ # Mistral-7B-Instruct-KhanAcademy-v0.2
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+
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+ This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.1502
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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: 5e-06
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+ - train_batch_size: 2
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+ - eval_batch_size: 2
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+ - seed: 42
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+ - distributed_type: multi-GPU
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+ - num_devices: 4
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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 32
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+ - total_eval_batch_size: 8
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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: 10
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+ - num_epochs: 1
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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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+ | 1.9039 | 0.0 | 1 | 3.1495 |
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+ | 0.9933 | 0.25 | 101 | 1.2402 |
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+ | 0.9439 | 0.5 | 202 | 1.1683 |
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+ | 0.9762 | 0.75 | 303 | 1.1502 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.39.0.dev0
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+ - Pytorch 2.2.0+cu121
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+ - Datasets 2.17.0
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+ - Tokenizers 0.15.0
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+ "transformers_version": "4.39.0.dev0",
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+ "use_cache": false,
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+ "vocab_size": 32000
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+ }
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