--- license: apache-2.0 base_model: 01-ai/Yi-1.5-34B-32k tags: - generated_from_trainer - axolotl datasets: - cognitivecomputations/Dolphin-2.9 - teknium/OpenHermes-2.5 - m-a-p/CodeFeedback-Filtered-Instruction - cognitivecomputations/dolphin-coder - cognitivecomputations/samantha-data - microsoft/orca-math-word-problems-200k - Locutusque/function-calling-chatml - internlm/Agent-FLAN --- # Dolphin 2.9.3 Yi 1.5 34b 32k 🐬 Curated and trained by Eric Hartford, Lucas Atkins, and Fernando Fernandes, and Cognitive Computations [![Discord](https://img.shields.io/discord/1156064224225808488?logo=Discord&logoColor=%23ffffff&label=Discord&link=https%3A%2F%2Fdiscord.gg%2FtCMkMDDHwm)](https://discord.gg/cognitivecomputations) Discord: https://discord.gg/cognitivecomputations Our appreciation for the sponsors of Dolphin 2.9.3: - [Crusoe Cloud](https://crusoe.ai/) - provided excellent on-demand 8xH100 node - [OnDemand](https://on-demand.io/) - provided inference sponsorship This model is based on Yi-1.5-34b-32k, and is governed by the apache 2.0 license. The base model has 32k context, and our finetuning took place with 8192 sequence length. Dolphin 2.9.3 uses ChatML prompt template format. example: ``` <|im_start|>system You are Dolphin, a helpful AI assistant.<|im_end|> <|im_start|>user {prompt}<|im_end|> <|im_start|>assistant ``` Dolphin-2.9.3 has a variety of instruction following, conversational, and coding skills. It also has initial agentic abilities and supports function calling. 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. 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. ## Evals ![image/png](https://i.ibb.co/7G02dNq/file-9-Lfkfpd0-KKK3-USTm-U8d-Jg-Zm0.png) ## Training [Built with Axolotl](https://github.com/OpenAccess-AI-Collective/axolotl)
See axolotl config axolotl version: `0.4.0` ```yaml base_model: 01-ai/Yi-1.5-34B-32k model_type: LlamaForCausalLM tokenizer_type: LlamaTokenizer trust_remote_code: true # load_in_8bit: false load_in_4bit: true # strict: false adapter: qlora lora_modules_to_save: [embed_tokens, lm_head] lora_r: 32 lora_alpha: 16 lora_dropout: 0.05 lora_target_linear: false lora_fan_in_fan_out: datasets: - path: /workspace/datasets/dolphin-2.9.3/dolphin201-sharegpt2.jsonl type: sharegpt conversation: chatml - path: /workspace/datasets/dolphin-2.9.3/SystemChat_filtered_sharegpt.jsonl type: sharegpt conversation: chatml - path: /workspace/datasets/dolphin-2.9.3/SystemChat_multilingual_sharegpt.jsonl type: sharegpt conversation: chatml - path: /workspace/datasets/dolphin-2.9.3/dolphin-coder-translate-sharegpt2.jsonl type: sharegpt conversation: chatml - path: /workspace/datasets/dolphin-2.9.3/dolphin-coder-codegen-sharegpt2.jsonl type: sharegpt conversation: chatml - path: /workspace/datasets/dolphin-2.9.3/m-a-p_Code-Feedback-sharegpt-unfiltered.jsonl type: sharegpt conversation: chatml - path: /workspace/datasets/dolphin-2.9.3/m-a-p_CodeFeedback-Filtered-Instruction-sharegpt-unfiltered.jsonl type: sharegpt conversation: chatml - path: /workspace/datasets/dolphin-2.9.3/not_samantha_norefusals.jsonl type: sharegpt conversation: chatml - path: /workspace/datasets/dolphin-2.9.3/Orca-Math-resort-unfiltered.jsonl type: sharegpt conversation: chatml - path: /workspace/datasets/dolphin-2.9.3/agent_instruct_react_unfiltered.jsonl type: sharegpt conversation: chatml - path: /workspace/datasets/dolphin-2.9.3/toolbench_instruct_j1s1_3k_unfiltered.jsonl type: sharegpt conversation: chatml - path: /workspace/datasets/dolphin-2.9.3/toolbench_negative_unfiltered.jsonl type: sharegpt conversation: chatml - path: /workspace/datasets/dolphin-2.9.3/toolbench_react_10p_unfiltered.jsonl type: sharegpt conversation: chatml - path: /workspace/datasets/dolphin-2.9.3/toolbench_tflan_cot_30p_unfiltered.jsonl type: sharegpt conversation: chatml - path: /workspace/datasets/dolphin-2.9.3/openhermes200k_unfiltered.jsonl type: sharegpt conversation: chatml chat_template: chatml dataset_prepared_path: dolphin-2.9.3-yi34b-prepared val_set_size: 0.01 output_dir: ./dolphin-2.9.3-out sequence_len: 8192 sample_packing: true pad_to_sequence_len: true wandb_project: dolphin-2.9.3-yi-1.5-34b wandb_watch: wandb_run_id: wandb_log_model: gradient_accumulation_steps: 8 micro_batch_size: 1 num_epochs: 3 optimizer: adamw_8bit lr_scheduler: cosine learning_rate: 1e-5 train_on_inputs: false group_by_length: false bf16: auto fp16: tf32: false gradient_checkpointing: true gradient_checkpointing_kwargs: use_reentrant: false early_stopping_patience: logging_steps: 1 xformers_attention: flash_attention: true warmup_steps: 10 # evals_per_epoch: 4 eval_table_size: saves_per_epoch: 4 save_total_limit: 2 save_steps: debug: deepspeed: /workspace/axolotl/deepspeed_configs/zero3_bf16.json weight_decay: 0.05 fsdp: fsdp_config: special_tokens: bos_token: "<|startoftext|>" eos_token: "<|im_end|>" pad_token: "" unk_token: "" tokens: - "<|im_start|>" #unfrozen_parameters: lora_target_modules: # input_layernorm layers # - model.layers.0.input_layernorm # - model.layers.1.input_layernorm # - model.layers.2.input_layernorm # - model.layers.3.input_layernorm # - model.layers.4.input_layernorm # - model.layers.5.input_layernorm # - model.layers.6.input_layernorm # - model.layers.7.input_layernorm # - model.layers.8.input_layernorm # - model.layers.9.input_layernorm # - model.layers.10.input_layernorm # - model.layers.11.input_layernorm # - model.layers.12.input_layernorm # - model.layers.13.input_layernorm # - model.layers.14.input_layernorm # - model.layers.15.input_layernorm # - model.layers.16.input_layernorm # - model.layers.17.input_layernorm # - model.layers.18.input_layernorm # - model.layers.19.input_layernorm # - model.layers.20.input_layernorm # - model.layers.21.input_layernorm # - model.layers.22.input_layernorm # - model.layers.23.input_layernorm # - model.layers.24.input_layernorm # - model.layers.25.input_layernorm # - model.layers.26.input_layernorm # - model.layers.27.input_layernorm # - model.layers.28.input_layernorm # - model.layers.29.input_layernorm - lm_head # mlp.down_proj layers - model.layers.44.mlp.down_proj - model.layers.45.mlp.down_proj - model.layers.46.mlp.down_proj - model.layers.47.mlp.down_proj - model.layers.43.mlp.down_proj - model.layers.48.mlp.down_proj - model.layers.49.mlp.down_proj - model.layers.42.mlp.down_proj - model.layers.50.mlp.down_proj - model.layers.41.mlp.down_proj - model.layers.51.mlp.down_proj - model.layers.52.mlp.down_proj - model.layers.39.mlp.down_proj - model.layers.40.mlp.down_proj - model.layers.53.mlp.down_proj - model.layers.54.mlp.down_proj - model.layers.38.mlp.down_proj - model.layers.56.mlp.down_proj - model.layers.55.mlp.down_proj - model.layers.37.mlp.down_proj - model.layers.36.mlp.down_proj - model.layers.57.mlp.down_proj - model.layers.35.mlp.down_proj - model.layers.12.mlp.down_proj - model.layers.13.mlp.down_proj - model.layers.16.mlp.down_proj - model.layers.14.mlp.down_proj - model.layers.11.mlp.down_proj - model.layers.34.mlp.down_proj - model.layers.17.mlp.down_proj # mlp.gate_proj layers - model.layers.57.mlp.gate_proj - model.layers.58.mlp.gate_proj - model.layers.56.mlp.gate_proj - model.layers.55.mlp.gate_proj - model.layers.54.mlp.gate_proj - model.layers.35.mlp.gate_proj - model.layers.34.mlp.gate_proj - model.layers.53.mlp.gate_proj - model.layers.26.mlp.gate_proj - model.layers.52.mlp.gate_proj - model.layers.25.mlp.gate_proj - model.layers.33.mlp.gate_proj - model.layers.51.mlp.gate_proj - model.layers.18.mlp.gate_proj - model.layers.32.mlp.gate_proj - model.layers.36.mlp.gate_proj - model.layers.24.mlp.gate_proj - model.layers.17.mlp.gate_proj - model.layers.23.mlp.gate_proj - model.layers.31.mlp.gate_proj - model.layers.50.mlp.gate_proj - model.layers.19.mlp.gate_proj - model.layers.15.mlp.gate_proj - model.layers.27.mlp.gate_proj - model.layers.37.mlp.gate_proj - model.layers.14.mlp.gate_proj - model.layers.39.mlp.gate_proj - model.layers.11.mlp.gate_proj - model.layers.29.mlp.gate_proj - model.layers.28.mlp.gate_proj # mlp.up_proj layers - model.layers.21.mlp.up_proj - model.layers.48.mlp.up_proj - model.layers.49.mlp.up_proj - model.layers.24.mlp.up_proj - model.layers.47.mlp.up_proj - model.layers.25.mlp.up_proj - model.layers.23.mlp.up_proj - model.layers.50.mlp.up_proj - model.layers.14.mlp.up_proj - model.layers.46.mlp.up_proj - model.layers.26.mlp.up_proj - model.layers.27.mlp.up_proj - model.layers.20.mlp.up_proj - model.layers.13.mlp.up_proj - model.layers.51.mlp.up_proj - model.layers.28.mlp.up_proj - model.layers.45.mlp.up_proj - model.layers.22.mlp.up_proj - model.layers.52.mlp.up_proj - model.layers.12.mlp.up_proj - model.layers.29.mlp.up_proj - model.layers.44.mlp.up_proj - model.layers.53.mlp.up_proj - model.layers.11.mlp.up_proj - model.layers.42.mlp.up_proj - model.layers.30.mlp.up_proj - model.layers.43.mlp.up_proj - model.layers.19.mlp.up_proj - model.layers.54.mlp.up_proj - model.layers.40.mlp.up_proj - model.embed_tokens # model.norm layers # post_attention_layernorm layers # - model.layers.0.post_attention_layernorm # - model.layers.1.post_attention_layernorm # - model.layers.2.post_attention_layernorm # - model.layers.3.post_attention_layernorm # - model.layers.4.post_attention_layernorm # - model.layers.5.post_attention_layernorm # - model.layers.6.post_attention_layernorm # - model.layers.7.post_attention_layernorm # - model.layers.8.post_attention_layernorm # - model.layers.9.post_attention_layernorm # - model.layers.10.post_attention_layernorm # - model.layers.11.post_attention_layernorm # - model.layers.12.post_attention_layernorm # - model.layers.13.post_attention_layernorm # - model.layers.14.post_attention_layernorm # - model.layers.15.post_attention_layernorm # - model.layers.16.post_attention_layernorm # - model.layers.17.post_attention_layernorm # - model.layers.18.post_attention_layernorm # - model.layers.19.post_attention_layernorm # - model.layers.20.post_attention_layernorm # - model.layers.21.post_attention_layernorm # - model.layers.22.post_attention_layernorm # - model.layers.23.post_attention_layernorm # - model.layers.24.post_attention_layernorm # - model.layers.25.post_attention_layernorm # - model.layers.26.post_attention_layernorm # - model.layers.27.post_attention_layernorm # - model.layers.28.post_attention_layernorm # - model.layers.29.post_attention_layernorm # self_attn.k_proj layers - model.layers.55.self_attn.k_proj - model.layers.51.self_attn.k_proj - model.layers.53.self_attn.k_proj - model.layers.56.self_attn.k_proj - model.layers.54.self_attn.k_proj - model.layers.57.self_attn.k_proj - model.layers.52.self_attn.k_proj - model.layers.59.self_attn.k_proj - model.layers.49.self_attn.k_proj - model.layers.48.self_attn.k_proj - model.layers.47.self_attn.k_proj - model.layers.41.self_attn.k_proj - model.layers.58.self_attn.k_proj - model.layers.40.self_attn.k_proj - model.layers.46.self_attn.k_proj - model.layers.44.self_attn.k_proj - model.layers.50.self_attn.k_proj - model.layers.43.self_attn.k_proj - model.layers.39.self_attn.k_proj - model.layers.42.self_attn.k_proj - model.layers.45.self_attn.k_proj - model.layers.33.self_attn.k_proj - model.layers.37.self_attn.k_proj - model.layers.17.self_attn.k_proj - model.layers.24.self_attn.k_proj - model.layers.21.self_attn.k_proj - model.layers.25.self_attn.k_proj - model.layers.23.self_attn.k_proj - model.layers.35.self_attn.k_proj - model.layers.20.self_attn.k_proj # self_attn.o_proj layers - model.layers.53.self_attn.o_proj - model.layers.55.self_attn.o_proj - model.layers.54.self_attn.o_proj - model.layers.42.self_attn.o_proj - model.layers.52.self_attn.o_proj - model.layers.51.self_attn.o_proj - model.layers.50.self_attn.o_proj - model.layers.1.self_attn.o_proj - model.layers.40.self_attn.o_proj - model.layers.37.self_attn.o_proj - model.layers.34.self_attn.o_proj - model.layers.36.self_attn.o_proj - model.layers.41.self_attn.o_proj - model.layers.35.self_attn.o_proj - model.layers.46.self_attn.o_proj - model.layers.27.self_attn.o_proj - model.layers.33.self_attn.o_proj - model.layers.30.self_attn.o_proj - model.layers.43.self_attn.o_proj - model.layers.39.self_attn.o_proj - model.layers.17.self_attn.o_proj - model.layers.28.self_attn.o_proj - model.layers.48.self_attn.o_proj - model.layers.31.self_attn.o_proj - model.layers.29.self_attn.o_proj - model.layers.38.self_attn.o_proj - model.layers.47.self_attn.o_proj - model.layers.56.self_attn.o_proj - model.layers.32.self_attn.o_proj - model.layers.4.self_attn.o_proj # self_attn.q_proj layers - model.layers.1.self_attn.q_proj - model.layers.3.self_attn.q_proj - model.layers.4.self_attn.q_proj - model.layers.5.self_attn.q_proj - model.layers.2.self_attn.q_proj - model.layers.0.self_attn.q_proj - model.layers.6.self_attn.q_proj - model.layers.8.self_attn.q_proj - model.layers.7.self_attn.q_proj - model.layers.10.self_attn.q_proj - model.layers.36.self_attn.q_proj - model.layers.11.self_attn.q_proj - model.layers.9.self_attn.q_proj - model.layers.35.self_attn.q_proj - model.layers.28.self_attn.q_proj - model.layers.34.self_attn.q_proj - model.layers.27.self_attn.q_proj - model.layers.14.self_attn.q_proj - model.layers.29.self_attn.q_proj - model.layers.12.self_attn.q_proj - model.layers.33.self_attn.q_proj - model.layers.30.self_attn.q_proj - model.layers.24.self_attn.q_proj - model.layers.32.self_attn.q_proj - model.layers.37.self_attn.q_proj - model.layers.20.self_attn.q_proj - model.layers.15.self_attn.q_proj - model.layers.16.self_attn.q_proj - model.layers.26.self_attn.q_proj - model.layers.31.self_attn.q_proj # self_attn.v_proj layers - model.layers.7.self_attn.v_proj - model.layers.8.self_attn.v_proj - model.layers.9.self_attn.v_proj - model.layers.10.self_attn.v_proj - model.layers.12.self_attn.v_proj - model.layers.13.self_attn.v_proj - model.layers.14.self_attn.v_proj - model.layers.15.self_attn.v_proj - model.layers.16.self_attn.v_proj - model.layers.17.self_attn.v_proj - model.layers.21.self_attn.v_proj - model.layers.23.self_attn.v_proj - model.layers.39.self_attn.v_proj - model.layers.46.self_attn.v_proj - model.layers.48.self_attn.v_proj - model.layers.49.self_attn.v_proj - model.layers.51.self_attn.v_proj - model.layers.52.self_attn.v_proj - model.layers.53.self_attn.v_proj - model.layers.54.self_attn.v_proj - model.layers.55.self_attn.v_proj - model.layers.56.self_attn.v_proj - model.layers.22.self_attn.v_proj - model.layers.18.self_attn.v_proj - model.layers.50.self_attn.v_proj - model.layers.47.self_attn.v_proj - model.layers.44.self_attn.v_proj - model.layers.45.self_attn.v_proj - model.layers.57.self_attn.v_proj - model.layers.41.self_attn.v_proj ```

# out-yi This model is a fine-tuned version of [01-ai/Yi-1.5-34B](https://huggingface.co/01-ai/Yi-1.5-34B-32k) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.4425 ## 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: 1e-05 - train_batch_size: 1 - eval_batch_size: 1 - seed: 42 - distributed_type: multi-GPU - num_devices: 8 - gradient_accumulation_steps: 8 - total_train_batch_size: 64 - total_eval_batch_size: 8 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: cosine - lr_scheduler_warmup_steps: 10 - num_epochs: 3 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 0.6265 | 0.0 | 1 | 0.6035 | | 0.4674 | 0.25 | 327 | 0.4344 | | 0.4337 | 0.5 | 654 | 0.4250 | | 0.4346 | 0.75 | 981 | 0.4179 | | 0.3985 | 1.0 | 1308 | 0.4118 | | 0.3128 | 1.23 | 1635 | 0.4201 | | 0.3261 | 1.48 | 1962 | 0.4157 | | 0.3259 | 1.73 | 2289 | 0.4122 | | 0.3126 | 1.98 | 2616 | 0.4079 | | 0.2265 | 2.21 | 2943 | 0.4441 | | 0.2297 | 2.46 | 3270 | 0.4427 | | 0.2424 | 2.71 | 3597 | 0.4425 | ### Framework versions - Transformers 4.40.0.dev0 - Pytorch 2.2.2+cu121 - Datasets 2.15.0 - Tokenizers 0.15.0