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README.md

@@ -1,3 +1,361 @@
----
-license: apache-2.0
----
+---
+tags:
+- generated_from_trainer
+model-index:
+- name: workspace/axolotl/dolphin-2.9.3-mistral-nemo
+  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: /workspace/models/Mistral-Nemo-Base-2407
+model_type: AutoModelForCausalLM
+tokenizer_type: AutoTokenizer
+
+load_in_8bit: false
+# load_in_4bit: true
+strict: false
+
+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
+# adapter: qlora
+# lora_r: 128
+# lora_alpha: 16
+# lora_modules_to_save: [embed_tokens, lm_head]
+# lora_dropout: 0.05
+# lora_target_linear: true
+
+
+unfrozen_parameters:
+- ^lm_head.weight$
+- ^model.embed_tokens.weight$
+- input_layernorm
+- model.norm
+- post_attention_layernorm
+- self_attn.rotary_emb
+# mlp.down_proj layers
+- model.layers.0.mlp.down_proj
+- model.layers.1.mlp.down_proj
+- model.layers.4.mlp.down_proj
+- model.layers.37.mlp.down_proj
+- model.layers.24.mlp.down_proj
+- model.layers.2.mlp.down_proj
+- model.layers.38.mlp.down_proj
+- model.layers.35.mlp.down_proj
+- model.layers.25.mlp.down_proj
+- model.layers.6.mlp.down_proj
+- model.layers.22.mlp.down_proj
+- model.layers.23.mlp.down_proj
+- model.layers.3.mlp.down_proj
+- model.layers.21.mlp.down_proj
+- model.layers.5.mlp.down_proj
+- model.layers.28.mlp.down_proj
+- model.layers.20.mlp.down_proj
+- model.layers.26.mlp.down_proj
+- model.layers.19.mlp.down_proj
+- model.layers.34.mlp.down_proj
+# mlp.gate_proj layers
+- model.layers.2.mlp.gate_proj
+- model.layers.1.mlp.gate_proj
+- model.layers.3.mlp.gate_proj
+- model.layers.5.mlp.gate_proj
+- model.layers.4.mlp.gate_proj
+- model.layers.35.mlp.gate_proj
+- model.layers.36.mlp.gate_proj
+- model.layers.37.mlp.gate_proj
+- model.layers.38.mlp.gate_proj
+- model.layers.34.mlp.gate_proj
+- model.layers.33.mlp.gate_proj
+- model.layers.8.mlp.gate_proj
+- model.layers.32.mlp.gate_proj
+- model.layers.6.mlp.gate_proj
+- model.layers.28.mlp.gate_proj
+- model.layers.26.mlp.gate_proj
+- model.layers.30.mlp.gate_proj
+- model.layers.23.mlp.gate_proj
+- model.layers.29.mlp.gate_proj
+- model.layers.27.mlp.gate_proj
+# mlp.up_proj layers
+- model.layers.3.mlp.up_proj
+- model.layers.4.mlp.up_proj
+- model.layers.6.mlp.up_proj
+- model.layers.2.mlp.up_proj
+- model.layers.5.mlp.up_proj
+- model.layers.8.mlp.up_proj
+- model.layers.10.mlp.up_proj
+- model.layers.9.mlp.up_proj
+- model.layers.7.mlp.up_proj
+- model.layers.0.mlp.up_proj
+- model.layers.17.mlp.up_proj
+- model.layers.15.mlp.up_proj
+- model.layers.22.mlp.up_proj
+- model.layers.18.mlp.up_proj
+- model.layers.16.mlp.up_proj
+- model.layers.11.mlp.up_proj
+- model.layers.21.mlp.up_proj
+- model.layers.23.mlp.up_proj
+- model.layers.20.mlp.up_proj
+- model.layers.27.mlp.up_proj
+# self_attn.k_proj layers
+- model.layers.30.self_attn.k_proj
+- model.layers.27.self_attn.k_proj
+- model.layers.25.self_attn.k_proj
+- model.layers.33.self_attn.k_proj
+- model.layers.26.self_attn.k_proj
+- model.layers.31.self_attn.k_proj
+- model.layers.35.self_attn.k_proj
+- model.layers.39.self_attn.k_proj
+- model.layers.22.self_attn.k_proj
+- model.layers.24.self_attn.k_proj
+- model.layers.21.self_attn.k_proj
+- model.layers.28.self_attn.k_proj
+- model.layers.23.self_attn.k_proj
+- model.layers.36.self_attn.k_proj
+- model.layers.20.self_attn.k_proj
+- model.layers.37.self_attn.k_proj
+- model.layers.29.self_attn.k_proj
+- model.layers.32.self_attn.k_proj
+- model.layers.16.self_attn.k_proj
+- model.layers.18.self_attn.k_proj
+# self_attn.o_proj layers
+- model.layers.7.self_attn.o_proj
+- model.layers.6.self_attn.o_proj
+- model.layers.9.self_attn.o_proj
+- model.layers.5.self_attn.o_proj
+- model.layers.27.self_attn.o_proj
+- model.layers.26.self_attn.o_proj
+- model.layers.4.self_attn.o_proj
+- model.layers.31.self_attn.o_proj
+- model.layers.8.self_attn.o_proj
+- model.layers.16.self_attn.o_proj
+- model.layers.3.self_attn.o_proj
+- model.layers.10.self_attn.o_proj
+- model.layers.18.self_attn.o_proj
+- model.layers.33.self_attn.o_proj
+- model.layers.17.self_attn.o_proj
+- model.layers.32.self_attn.o_proj
+- model.layers.30.self_attn.o_proj
+- model.layers.2.self_attn.o_proj
+- model.layers.15.self_attn.o_proj
+- model.layers.11.self_attn.o_proj
+# self_attn.q_proj layers
+- model.layers.14.self_attn.q_proj
+- model.layers.11.self_attn.q_proj
+- model.layers.15.self_attn.q_proj
+- model.layers.9.self_attn.q_proj
+- model.layers.8.self_attn.q_proj
+- model.layers.18.self_attn.q_proj
+- model.layers.12.self_attn.q_proj
+- model.layers.13.self_attn.q_proj
+- model.layers.19.self_attn.q_proj
+- model.layers.16.self_attn.q_proj
+- model.layers.10.self_attn.q_proj
+- model.layers.17.self_attn.q_proj
+- model.layers.7.self_attn.q_proj
+- model.layers.5.self_attn.q_proj
+- model.layers.20.self_attn.q_proj
+- model.layers.3.self_attn.q_proj
+- model.layers.26.self_attn.q_proj
+- model.layers.27.self_attn.q_proj
+- model.layers.28.self_attn.q_proj
+- model.layers.33.self_attn.q_proj
+# self_attn.v_proj layers
+- model.layers.27.self_attn.v_proj
+- model.layers.20.self_attn.v_proj
+- model.layers.24.self_attn.v_proj
+- model.layers.25.self_attn.v_proj
+- model.layers.30.self_attn.v_proj
+- model.layers.2.self_attn.v_proj
+- model.layers.23.self_attn.v_proj
+- model.layers.22.self_attn.v_proj
+- model.layers.26.self_attn.v_proj
+- model.layers.33.self_attn.v_proj
+- model.layers.37.self_attn.v_proj
+- model.layers.7.self_attn.v_proj
+- model.layers.4.self_attn.v_proj
+- model.layers.18.self_attn.v_proj
+- model.layers.31.self_attn.v_proj
+- model.layers.17.self_attn.v_proj
+- model.layers.35.self_attn.v_proj
+- model.layers.32.self_attn.v_proj
+- model.layers.21.self_attn.v_proj
+- model.layers.3.self_attn.v_proj
+
+
+
+dataset_prepared_path:  /workspace/axolotl/dolph-2.9.3-nemo-prepared
+val_set_size: 0.01
+output_dir: /workspace/axolotl/dolphin-2.9.3-mistral-nemo
+
+sequence_len: 8192
+sample_packing: true
+pad_to_sequence_len: true
+
+wandb_project: dolphin-2.9.3-Mistral-nemo
+wandb_watch:
+wandb_run_id:
+wandb_log_model:
+
+gradient_accumulation_steps: 16
+micro_batch_size: 1
+num_epochs: 3
+optimizer: adamw_torch
+lr_scheduler: cosine
+learning_rate: 5e-6
+train_on_inputs: false
+group_by_length: false
+bf16: auto
+fp16:
+tf32:
+
+gradient_checkpointing: true
+gradient_checkpointing_kwargs:
+  use_reentrant: false
+early_stopping_patience:
+resume_from_checkpoint:
+logging_steps: 1
+xformers_attention:
+flash_attention: true
+
+warmup_steps: 100
+# evals_per_epoch: 4
+eval_table_size:
+saves_per_epoch: 1
+save_total_limit: 2
+save_steps:
+debug:
+deepspeed: deepspeed_configs/zero3_bf16.json
+weight_decay: 0.1
+special_tokens:
+  eos_token: "<|im_end|>"
+  pad_token: "<pad>"
+  bos_token: "<s>"
+  unk_token: "<unk>"
+tokens:
+  - "<|im_start|>"
+
+
+# fsdp:
+#   - full_shard
+#   - auto_wrap
+# fsdp_config:
+#   fsdp_limit_all_gathers: true
+#   fsdp_sync_module_states: true
+#   fsdp_offload_params: true
+#   fsdp_use_orig_params: false
+#   fsdp_cpu_ram_efficient_loading: true
+#   fsdp_transformer_layer_cls_to_wrap: MixtralSparseMoeBlock
+#   fsdp_state_dict_type: FULL_STATE_DICT
+#   fsdp_auto_wrap_policy: TRANSFORMER_BASED_WRAP
+#   fsdp_sharding_strategy: FULL_SHARD
+#   fsdp_forward_prefetch: false
+#   fsdp_backward_prefetch: BACKWARD_PRE
+```
+
+</details><br>
+
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/ehartford/dolphin-2.9.3-Mistral-nemo/runs/c23odyoj)
+# workspace/axolotl/dolphin-2.9.3-mistral-nemo
+
+This model was trained from scratch on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5605
+
+## 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: 5e-06
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 8
+- gradient_accumulation_steps: 16
+- total_train_batch_size: 128
+- 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: 100
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 0.5691        | 1.0162 | 983  | 0.5734          |
+| 0.5335        | 2.0174 | 1968 | 0.5609          |
+| 0.5297        | 2.9639 | 2901 | 0.5605          |
+
+
+### Framework versions
+
+- Transformers 4.43.0.dev0
+- Pytorch 2.2.2+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

adapter_config.json

@@ -0,0 +1,37 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "/workspace/models/Mistral-Nemo-Base-2407",
+  "bias": "none",
+  "fan_in_fan_out": null,
+  "inference_mode": false,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": [
+    "embed_tokens",
+    "lm_head"
+  ],
+  "peft_type": "LORA",
+  "r": 128,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "up_proj",
+    "o_proj",
+    "down_proj",
+    "k_proj",
+    "gate_proj",
+    "q_proj",
+    "v_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

added_tokens.json

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+{
+  "<|im_end|>": 131072,
+  "<|im_start|>": 131073
+}

config.json

@@ -0,0 +1,27 @@
+{
+  "_name_or_path": "/workspace/models/Mistral-Nemo-Base-2407",
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 131072,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 5120,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 1024000,
+  "model_type": "mistral",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 40,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 1000000.0,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.43.0.dev0",
+  "use_cache": false,
+  "vocab_size": 131074
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "do_sample": true,
+  "eos_token_id": 2,
+  "transformers_version": "4.43.0.dev0"
+}

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special_tokens_map.json

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