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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: 01-ai/Yi-1.5-34B
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+ tags:
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+ - generated_from_trainer
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+ - axolotl
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+ datasets:
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+ - cognitivecomputations/Dolphin-2.9
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+ - teknium/OpenHermes-2.5
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+ - m-a-p/CodeFeedback-Filtered-Instruction
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+ - cognitivecomputations/dolphin-coder
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+ - cognitivecomputations/samantha-data
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+ - microsoft/orca-math-word-problems-200k
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+ - Locutusque/function-calling-chatml
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+ - internlm/Agent-FLAN
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+ ---
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+
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+ # Dolphin 2.9.1 Yi 1.5 34b 🐬
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+
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+ Curated and trained by Eric Hartford, Lucas Atkins, and Fernando Fernandes, and Cognitive Computations
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+
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+ This is our most spectacular outcome ever. FFT, all parameters, 16bit. 77.4 MMLU on 34b. And it talks like a dream.
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+
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+ Although the max positional embeddings is 4k, we used rope theta of 1000000.0 and we trained with sequence length 8k. We plan to train on the upcoming 32k version as well.
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+
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+ Discord: https://discord.gg/8fbBeC7ZGx
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+
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+ <img src="https://cdn-uploads.huggingface.co/production/uploads/63111b2d88942700629f5771/ldkN1J0WIDQwU4vutGYiD.png" width="600" />
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+
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+ Our appreciation for the sponsors of Dolphin 2.9.1:
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+ - [Crusoe Cloud](https://crusoe.ai/) - provided excellent on-demand 8xH100 node
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+ - [OnDemand](https://on-demand.io/) - provided inference sponsorship
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+
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+ This model is based on Yi-1.5-34b, and is governed by apache 2.0 license.
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+
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+ The base model has 4k context, but we used rope theta of 1000000.0 and the full-weight fine-tuning was with 8k sequence length.
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+
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+ Dolphin 2.9.1 uses ChatML prompt template format.
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+
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+ example:
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+
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+ ```
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+ <|im_start|>system
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+ You are Dolphin, a helpful AI assistant.<|im_end|>
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+ <|im_start|>user
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+ {prompt}<|im_end|>
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+ <|im_start|>assistant
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+
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+ ```
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+
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+ Dolphin-2.9.1 has a variety of instruction, conversational, and coding skills. It also has initial agentic abilities and supports function calling.
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+
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+ Dolphin is uncensored. We have filtered the dataset to remove alignment and bias. This makes the model more compliant. You are advised to implement your own alignment layer before exposing the model as a service. It will be highly compliant with any requests, even unethical ones. Please read my blog post about uncensored models. https://erichartford.com/uncensored-models You are responsible for any content you create using this model. Enjoy responsibly.
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+
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+ Dolphin is licensed according to apache 2.0 license. We grant permission for any use, including commercial. Dolphin was trained on data generated from GPT4, among other models.
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+
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+ ## Evals
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+
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/63111b2d88942700629f5771/coI4WEJEJD4lhSWgMOjIr.png)
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+
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+ ## Training
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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: 01-ai/Yi-1.5-34B
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+ model_type: LlamaForCausalLM
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+ tokenizer_type: LlamaTokenizer
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+ trust_remote_code: true
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+
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+ # load_in_8bit: false
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+ # load_in_4bit: true
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+ # strict: false
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+
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+ # adapter: qlora
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+ # lora_modules_to_save: [embed_tokens, lm_head]
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+
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+ # lora_r: 32
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+ # lora_alpha: 16
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+ # lora_dropout: 0.05
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+ # lora_target_linear: True
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+ # lora_fan_in_fan_out:
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+
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+ datasets:
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+ - path: /workspace/datasets/dolphin-2.9/dolphin201-sharegpt2.jsonl
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+ type: sharegpt
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+ conversation: chatml
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+ - path: /workspace/datasets/dolphin-2.9/dolphin-coder-translate-sharegpt2.jsonl
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+ type: sharegpt
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+ conversation: chatml
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+ - path: /workspace/datasets/dolphin-2.9/dolphin-coder-codegen-sharegpt2.jsonl
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+ type: sharegpt
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+ conversation: chatml
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+ - path: /workspace/datasets/dolphin-2.9/m-a-p_Code-Feedback-sharegpt-unfiltered.jsonl
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+ type: sharegpt
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+ conversation: chatml
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+ - path: /workspace/datasets/dolphin-2.9/m-a-p_CodeFeedback-Filtered-Instruction-sharegpt-unfiltered.jsonl
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+ type: sharegpt
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+ conversation: chatml
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+ - path: /workspace/datasets/dolphin-2.9/not_samantha_norefusals.jsonl
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+ type: sharegpt
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+ conversation: chatml
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+ - path: /workspace/datasets/dolphin-2.9/Orca-Math-resort-unfiltered.jsonl
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+ type: sharegpt
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+ conversation: chatml
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+ - path: /workspace/datasets/dolphin-2.9/agent_instruct_react_unfiltered.jsonl
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+ type: sharegpt
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+ conversation: chatml
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+ - path: /workspace/datasets/dolphin-2.9/toolbench_instruct_j1s1_3k_unfiltered.jsonl
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+ type: sharegpt
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+ conversation: chatml
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+ - path: /workspace/datasets/dolphin-2.9/toolbench_negative_unfiltered.jsonl
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+ type: sharegpt
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+ conversation: chatml
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+ - path: /workspace/datasets/dolphin-2.9/toolbench_react_10p_unfiltered.jsonl
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+ type: sharegpt
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+ conversation: chatml
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+ - path: /workspace/datasets/dolphin-2.9/toolbench_tflan_cot_30p_unfiltered.jsonl
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+ type: sharegpt
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+ conversation: chatml
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+ - path: /workspace/datasets/dolphin-2.9/openhermes200k_unfiltered.jsonl
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+ type: sharegpt
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+ conversation: chatml
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+
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+ chat_template: chatml
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+
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+ dataset_prepared_path: yi34b
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+ val_set_size: 0.01
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+ output_dir: ./out-yi
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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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+
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+ wandb_project: dolphin-2.9-yi-34b
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+ wandb_watch:
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+ wandb_run_id:
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+ wandb_log_model:
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+
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+ gradient_accumulation_steps: 8
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+ micro_batch_size: 1
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+ num_epochs: 3
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+ optimizer: adamw_8bit
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+ lr_scheduler: cosine
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+ learning_rate: 1e-5
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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: true
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+
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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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+ # resume_from_checkpoint: /workspace/axolotl/dbrx-checkpoint
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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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+ saves_per_epoch: 4
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+ save_total_limit: 2
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+ save_steps:
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+ debug:
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+ deepspeed: /workspace/axolotl/deepspeed_configs/zero3_bf16.json
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+ weight_decay: 0.05
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+ fsdp:
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+ fsdp_config:
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+ special_tokens:
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+ bos_token: "<|startoftext|>"
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+ eos_token: "<|im_end|>"
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+ pad_token: "<unk>"
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+ unk_token: "<unk>"
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+ tokens:
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+ - "<|im_start|>"
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+
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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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+ # out-yi
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+
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+ This model is a fine-tuned version of [01-ai/Yi-1.5-34B](https://huggingface.co/01-ai/Yi-1.5-34B) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.4425
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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: 1e-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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+ - distributed_type: multi-GPU
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+ - num_devices: 8
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+ - gradient_accumulation_steps: 8
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+ - total_train_batch_size: 64
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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: 3
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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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+ | 0.6265 | 0.0 | 1 | 0.6035 |
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+ | 0.4674 | 0.25 | 327 | 0.4344 |
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+ | 0.4337 | 0.5 | 654 | 0.4250 |
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+ | 0.4346 | 0.75 | 981 | 0.4179 |
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+ | 0.3985 | 1.0 | 1308 | 0.4118 |
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+ | 0.3128 | 1.23 | 1635 | 0.4201 |
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+ | 0.3261 | 1.48 | 1962 | 0.4157 |
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+ | 0.3259 | 1.73 | 2289 | 0.4122 |
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+ | 0.3126 | 1.98 | 2616 | 0.4079 |
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+ | 0.2265 | 2.21 | 2943 | 0.4441 |
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+ | 0.2297 | 2.46 | 3270 | 0.4427 |
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+ | 0.2424 | 2.71 | 3597 | 0.4425 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.40.0.dev0
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+ - Pytorch 2.2.2+cu121
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+ - Datasets 2.15.0
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+ - Tokenizers 0.15.0
config.json ADDED
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+ {
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+ "_name_or_path": "01-ai/Yi-1.5-34B",
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+ "architectures": [
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+ "LlamaForCausalLM"
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+ ],
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+ "attention_bias": false,
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+ "attention_dropout": 0.0,
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+ "bos_token_id": 1,
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+ "eos_token_id": 7,
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+ "hidden_act": "silu",
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+ "hidden_size": 7168,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 20480,
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+ "max_position_embeddings": 8192,
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+ "model_type": "llama",
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+ "num_attention_heads": 56,
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+ "num_hidden_layers": 60,
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+ "num_key_value_heads": 8,
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+ "pad_token_id": 0,
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+ "pretraining_tp": 1,
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+ "rms_norm_eps": 1e-06,
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+ "rope_scaling": null,
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+ "rope_theta": 5000000.0,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.40.0.dev0",
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+ "use_cache": false,
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+ "vocab_size": 64000,
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+ "quantization_config": {
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+ "quant_method": "exl2",
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+ "version": "0.0.21",
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+ "bits": 8.0,
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+ "head_bits": 8,
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+ "calibration": {
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+ "rows": 100,
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+ "length": 2048,
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+ "dataset": "(default)"
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+ }
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+ }
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+ }
generation_config.json ADDED
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+ {
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+ "_from_model_config": true,
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+ "bos_token_id": 1,
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+ "do_sample": true,
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+ "eos_token_id": 2,
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+ "pad_token_id": 0,
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+ "transformers_version": "4.40.0.dev0"
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+ }
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