Init

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README.md

@@ -1,3 +1,106 @@
 ---
+language:
+- en
+library_name: transformers
+pipeline_tag: text-generation
+datasets:
+- jondurbin/airoboros-2.2
+- Open-Orca/OpenOrca
+- garage-bAInd/Open-Platypus
+- WizardLM/WizardLM_evol_instruct_V2_196k
+- TokenBender/python_eval_instruct_51k
+tags:
+- llama-2
+- code
 license: llama2
+model-index:
+- name: SpeechlessCoder
+  results:
+  - task:
+      type: text-generation
+    dataset:
+      type: openai_humaneval
+      name: HumanEval
+    metrics:
+    - name: pass@1
+      type: pass@1
+      value: 0.0
+      verified: false
 ---
+
+<p><h1> speechless-code-mistral-7b-v1.0  </h1></p>
+
+Use the following dataset to fine-tune llm_agents/Mistral-7B-v0.1 in order to improve the model's reasoning and planning abilities.
+
+Total 201,981 samples.
+- jondurbin/airoboros-2.2: Filter categories related to coding, reasoning and planning. 23,462 samples.
+- Open-Orca/OpenOrca: Filter the 'cot' category in 1M GPT4 dataset. 74,440 samples.
+- garage-bAInd/Open-Platypus: 100%, 24,926 samples.
+- WizardLM/WizardLM_evol_instruct_V2_196k: Coding coversation part. 30,185 samples
+- TokenBender/python_eval_instruct_51k: “python” in output .40,309 samples
+- Spider: 8,659 samples
+
+
+| | |
+|------ | ------ |
+| lr | 2e-4 |
+| lr_scheduler_type | cosine |
+| weight_decay | 0.0 |
+| optim | paged_adamw_8bit |
+| flash_attention | True |
+| rerope | False |
+| max_new_tokens | 4096 |
+| num_train_epochs | 2 |
+| bits | 4 |
+| lora_r | 64 |
+| lora_alpha | 16 |
+| lora_dropout | 0.05 |
+| double_quant | True |
+| quant_type | nf4 |
+| dataset_format | airoboros |
+| mini_batch_size | 2 |
+| grandient_accumulation_steps | 32 |
+| bf16 | True |
+
+A100-40G x 4
+
+| | |
+|------ | ------ |
+| epoch                    |                2.0 |
+| etrain_loss               |             0.4708 |
+| etrain_runtime            | 12:12:53.64 |
+| etrain_samples_per_second |              9.002 |
+| etrain_steps_per_second   |              0.07 |
+| eeval_loss               |     0.4851 |
+| eeval_runtime            | 0:00:10.31 |
+| eeval_samples_per_second |      19.385 |
+| eeval_steps_per_second   |      4.846 |
+
+| Metric | Value |
+| --- | --- |
+| humaneval-python | 46.341|
+
+[Big Code Models Leaderboard](https://huggingface.co/spaces/bigcode/bigcode-models-leaderboard)
+
+CodeLlama-34B-Python: 53.29
+
+CodeLlama-34B-Instruct: 50.79
+
+CodeLlama-13B-Instruct: 50.6
+
+CodeLlama-34B: 45.11
+
+CodeLlama-13B-Python: 42.89
+
+CodeLlama-13B: 35.07
+
+[Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
+| Metric | Value |
+| --- | --- |
+| ARC | |
+| HellaSwag | |
+| MMLU | |
+| TruthfulQA |  |
+| Average |  |
+
+

added_tokens.json

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+{
+  "</s>": 2,
+  "<s>": 1,
+  "<unk>": 0
+}

config.json

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+{
+  "_name_or_path": "/opt/local/llm_models/huggingface.co/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": "float16",
+  "transformers_version": "4.34.0",
+  "use_cache": true,
+  "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"
+}

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