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README.md ADDED
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+ ---
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+ license: mit
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+ base_model: microsoft/Phi-3-medium-128k-instruct
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: outputs/phi3-medium-128k-14b.8e6
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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: microsoft/Phi-3-medium-128k-instruct
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+ model_type: AutoModelForCausalLM
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+ tokenizer_type: AutoTokenizer
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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: false
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+ strict: false
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+
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+ use_wandb: true
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+ wandb_project: shisa-v2
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+ wandb_entity: augmxnt
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+ wandb_name: shisa-llama3-70b-v1.8e6
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+
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+ chat_template: chatml
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+ datasets:
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+ - path: augmxnt/ultra-orca-boros-en-ja-v1
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+ type: sharegpt
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+ dataset_prepared_path: last_run_prepared
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+ val_set_size: 0.05
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+ output_dir: ./outputs/phi3-medium-128k-14b.8e6
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+
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+ sequence_len: 4096
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+ sample_packing: true
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+ pad_to_sequence_len: true
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+ neftune_noise_alpha: 5
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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: 3
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+ optimizer: paged_adamw_8bit
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+ adam_beta2: 0.95
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+ adam_epsilon: 0.00001
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+ max_grad_norm: 1.0
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+ lr_scheduler: linear
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+ learning_rate: 0.000008
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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: 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: 100
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+ evals_per_epoch: 4
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+ saves_per_epoch: 1
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+ debug:
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+ deepspeed: axolotl/deepspeed_configs/zero3_bf16.json
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+ weight_decay: 0.1
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+ fsdp:
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+ fsdp_config:
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+ resize_token_embeddings_to_32x: true
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+ special_tokens:
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+ pad_token: "<|endoftext|>"
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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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+ # outputs/phi3-medium-128k-14b.8e6
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+
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+ This model is a fine-tuned version of [microsoft/Phi-3-medium-128k-instruct](https://huggingface.co/microsoft/Phi-3-medium-128k-instruct) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.3339
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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: 8e-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: 8
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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 64
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+ - total_eval_batch_size: 16
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+ - optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-05
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_steps: 100
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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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+ | 2.8309 | 0.0021 | 1 | 2.3406 |
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+ | 0.7688 | 0.2513 | 121 | 0.4958 |
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+ | 0.6435 | 0.5026 | 242 | 0.3830 |
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+ | 0.5286 | 0.7539 | 363 | 0.3626 |
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+ | 0.5559 | 1.0052 | 484 | 0.3549 |
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+ | 0.4651 | 1.2425 | 605 | 0.3486 |
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+ | 0.5294 | 1.4938 | 726 | 0.3432 |
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+ | 0.5453 | 1.7451 | 847 | 0.3392 |
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+ | 0.5258 | 1.9964 | 968 | 0.3376 |
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+ | 0.4805 | 2.2331 | 1089 | 0.3357 |
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+ | 0.4552 | 2.4844 | 1210 | 0.3352 |
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+ | 0.5358 | 2.7357 | 1331 | 0.3339 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.40.2
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+ - Pytorch 2.3.0+cu121
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+ - Datasets 2.19.1
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+ - Tokenizers 0.19.1
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+ "normalized": false,
49
+ "rstrip": true,
50
+ "single_word": false,
51
+ "special": true
52
+ },
53
+ "32003": {
54
+ "content": "<|placeholder2|>",
55
+ "lstrip": false,
56
+ "normalized": false,
57
+ "rstrip": true,
58
+ "single_word": false,
59
+ "special": true
60
+ },
61
+ "32004": {
62
+ "content": "<|placeholder3|>",
63
+ "lstrip": false,
64
+ "normalized": false,
65
+ "rstrip": true,
66
+ "single_word": false,
67
+ "special": true
68
+ },
69
+ "32005": {
70
+ "content": "<|placeholder4|>",
71
+ "lstrip": false,
72
+ "normalized": false,
73
+ "rstrip": true,
74
+ "single_word": false,
75
+ "special": true
76
+ },
77
+ "32006": {
78
+ "content": "<|system|>",
79
+ "lstrip": false,
80
+ "normalized": false,
81
+ "rstrip": true,
82
+ "single_word": false,
83
+ "special": true
84
+ },
85
+ "32007": {
86
+ "content": "<|end|>",
87
+ "lstrip": false,
88
+ "normalized": false,
89
+ "rstrip": true,
90
+ "single_word": false,
91
+ "special": true
92
+ },
93
+ "32008": {
94
+ "content": "<|placeholder5|>",
95
+ "lstrip": false,
96
+ "normalized": false,
97
+ "rstrip": true,
98
+ "single_word": false,
99
+ "special": true
100
+ },
101
+ "32009": {
102
+ "content": "<|placeholder6|>",
103
+ "lstrip": false,
104
+ "normalized": false,
105
+ "rstrip": true,
106
+ "single_word": false,
107
+ "special": true
108
+ },
109
+ "32010": {
110
+ "content": "<|user|>",
111
+ "lstrip": false,
112
+ "normalized": false,
113
+ "rstrip": true,
114
+ "single_word": false,
115
+ "special": true
116
+ }
117
+ },
118
+ "bos_token": "<s>",
119
+ "chat_template": "{% for message in messages %}{% if (message['role'] == 'user') %}{{'<|user|>' + '\n' + message['content'] + '<|end|>' + '\n' + '<|assistant|>' + '\n'}}{% elif (message['role'] == 'assistant') %}{{message['content'] + '<|end|>' + '\n'}}{% endif %}{% endfor %}",
120
+ "clean_up_tokenization_spaces": false,
121
+ "eos_token": "<|endoftext|>",
122
+ "legacy": false,
123
+ "model_max_length": 131072,
124
+ "pad_token": "<|endoftext|>",
125
+ "padding_side": "left",
126
+ "sp_model_kwargs": {},
127
+ "tokenizer_class": "LlamaTokenizer",
128
+ "unk_token": "<unk>",
129
+ "use_default_system_prompt": false
130
+ }