ep1

README.md

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+---
+license: apache-2.0
+base_model: mistralai/Mistral-7B-v0.1
+tags:
+- generated_from_trainer
+model-index:
+- name: out
+  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/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)
+# out
+
+This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.3754
+
+## 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: 6e-06
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 8
+- total_train_batch_size: 16
+- total_eval_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 10
+- num_epochs: 4
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.9424        | 0.02  | 1    | 1.0092          |
+| 1.0216        | 0.2   | 13   | 1.0002          |
+| 0.9928        | 0.41  | 26   | 1.0070          |
+| 0.9191        | 0.61  | 39   | 1.0096          |
+| 0.9276        | 0.81  | 52   | 1.0053          |
+| 0.5839        | 1.02  | 65   | 1.0082          |
+| 0.5495        | 1.22  | 78   | 1.0552          |
+| 0.4987        | 1.42  | 91   | 1.0670          |
+| 0.6065        | 1.62  | 104  | 1.0635          |
+| 0.5086        | 1.83  | 117  | 1.0656          |
+| 0.3216        | 2.03  | 130  | 1.1148          |
+| 0.3204        | 2.23  | 143  | 1.1933          |
+| 0.2575        | 2.44  | 156  | 1.2069          |
+| 0.2721        | 2.64  | 169  | 1.1942          |
+| 0.2796        | 2.84  | 182  | 1.2019          |
+| 0.1414        | 3.05  | 195  | 1.2782          |
+| 0.124         | 3.25  | 208  | 1.3240          |
+| 0.1385        | 3.45  | 221  | 1.3561          |
+| 0.1077        | 3.66  | 234  | 1.3740          |
+| 0.0966        | 3.86  | 247  | 1.3754          |
+
+
+### Framework versions
+
+- Transformers 4.34.0.dev0
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.4
+- Tokenizers 0.14.0

added_tokens.json

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+  "<s>": 1,
+  "<unk>": 0
+}

config.json

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+{
+  "_name_or_path": "mistralai/Mistral-7B-v0.1",
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 32768,
+  "model_type": "mistral",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 10000.0,
+  "sliding_window": 4096,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.34.0.dev0",
+  "use_cache": false,
+  "vocab_size": 32000
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "transformers_version": "4.34.0.dev0"
+}

mistral-neft.yml

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+base_model: mistralai/Mistral-7B-v0.1
+base_model_config: mistralai/Mistral-7B-v0.1
+model_type: MistralForCausalLM
+tokenizer_type: LlamaTokenizer
+is_mistral_derived_model: true
+
+load_in_8bit: false
+load_in_4bit: false
+strict: false
+
+datasets:
+  - path: openaccess-ai-collective/oasst1-guanaco-extended-sharegpt
+    type: sharegpt
+dataset_prepared_path:
+val_set_size: 0.1
+output_dir: ./out
+
+sequence_len: 4096
+sample_packing: true
+pad_to_sequence_len: true
+
+wandb_project: mistral-neft-guanaco
+wandb_entity:
+wandb_watch:
+wandb_run_id:
+wandb_log_model:
+
+gradient_accumulation_steps: 1
+micro_batch_size: 2
+num_epochs: 4
+optimizer: adamw_torch
+lr_scheduler: cosine
+learning_rate: 0.000006
+
+train_on_inputs: false
+group_by_length: false
+bf16: true
+fp16: false
+tf32: false
+
+gradient_checkpointing: true
+early_stopping_patience:
+resume_from_checkpoint:
+local_rank:
+logging_steps: 1
+xformers_attention:
+flash_attention: true
+
+noisy_embedding_alpha: 
+
+warmup_steps: 10
+eval_steps: 0.05
+save_steps:
+debug:
+deepspeed: deepspeed/zero1.json
+weight_decay: 0.3
+fsdp:
+fsdp_config:
+special_tokens:
+  bos_token: "<s>"
+  eos_token: "</s>"
+  unk_token: "<unk>"

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