inital integration code

README.md

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+---
+library_name: transformers
+license: llama2
+base_model: lmsys/vicuna-7b-v1.5
+tags:
+- generated_from_trainer
+model-index:
+- name: vicuna_7b_stage1_flash
+  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)
+# vicuna_7b_stage1_flash
+
+This model is a fine-tuned version of [lmsys/vicuna-7b-v1.5](https://huggingface.co/lmsys/vicuna-7b-v1.5) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: nan
+
+## 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: 0.0005
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 4
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 32
+- 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: 40
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 3.0038        | 0.0410 | 40   | nan             |
+| 2.8811        | 0.0821 | 80   | nan             |
+| 2.7369        | 0.1231 | 120  | nan             |
+| 2.7568        | 0.1641 | 160  | nan             |
+| 2.9021        | 0.2051 | 200  | nan             |
+| 2.8989        | 0.2462 | 240  | nan             |
+| 2.8846        | 0.2872 | 280  | nan             |
+| 2.9066        | 0.3282 | 320  | nan             |
+| 2.7595        | 0.3692 | 360  | nan             |
+| 2.698         | 0.4103 | 400  | nan             |
+| 3.0317        | 0.4513 | 440  | nan             |
+| 2.7174        | 0.4923 | 480  | nan             |
+| 2.6518        | 0.5333 | 520  | nan             |
+| 2.6698        | 0.5744 | 560  | nan             |
+| 2.8094        | 0.6154 | 600  | nan             |
+| 2.721         | 0.6564 | 640  | nan             |
+| 2.679         | 0.6974 | 680  | nan             |
+| 2.5793        | 0.7385 | 720  | nan             |
+| 2.6417        | 0.7795 | 760  | nan             |
+| 2.5729        | 0.8205 | 800  | nan             |
+| 2.3099        | 0.8615 | 840  | nan             |
+| 2.6534        | 0.9026 | 880  | nan             |
+| 2.5593        | 0.9436 | 920  | nan             |
+| 2.4978        | 0.9846 | 960  | nan             |
+| 2.4152        | 1.0256 | 1000 | nan             |
+| 2.44          | 1.0667 | 1040 | nan             |
+| 2.5566        | 1.1077 | 1080 | nan             |
+| 2.336         | 1.1487 | 1120 | nan             |
+| 2.2365        | 1.1897 | 1160 | nan             |
+| 2.4516        | 1.2308 | 1200 | nan             |
+| 2.3756        | 1.2718 | 1240 | nan             |
+| 2.1703        | 1.3128 | 1280 | nan             |
+| 2.1208        | 1.3538 | 1320 | nan             |
+| 2.2553        | 1.3949 | 1360 | nan             |
+| 2.1051        | 1.4359 | 1400 | nan             |
+| 2.2217        | 1.4769 | 1440 | nan             |
+| 2.0144        | 1.5179 | 1480 | nan             |
+| 2.0047        | 1.5590 | 1520 | nan             |
+| 2.0336        | 1.6    | 1560 | nan             |
+| 1.9599        | 1.6410 | 1600 | nan             |
+| 2.0869        | 1.6821 | 1640 | nan             |
+| 1.9917        | 1.7231 | 1680 | nan             |
+| 2.0273        | 1.7641 | 1720 | nan             |
+| 1.7805        | 1.8051 | 1760 | nan             |
+| 1.9446        | 1.8462 | 1800 | nan             |
+| 1.9071        | 1.8872 | 1840 | nan             |
+| 1.9767        | 1.9282 | 1880 | nan             |
+| 1.7796        | 1.9692 | 1920 | nan             |
+| 1.9373        | 2.0103 | 1960 | nan             |
+| 1.6333        | 2.0513 | 2000 | nan             |
+| 1.7957        | 2.0923 | 2040 | nan             |
+| 1.6708        | 2.1333 | 2080 | nan             |
+| 1.7508        | 2.1744 | 2120 | nan             |
+| 1.6658        | 2.2154 | 2160 | nan             |
+| 1.5108        | 2.2564 | 2200 | nan             |
+| 1.6733        | 2.2974 | 2240 | nan             |
+| 1.6248        | 2.3385 | 2280 | nan             |
+| 1.5717        | 2.3795 | 2320 | nan             |
+| 1.6168        | 2.4205 | 2360 | nan             |
+| 1.6815        | 2.4615 | 2400 | nan             |
+| 1.6728        | 2.5026 | 2440 | nan             |
+| 1.6679        | 2.5436 | 2480 | nan             |
+| 1.6393        | 2.5846 | 2520 | nan             |
+| 1.5578        | 2.6256 | 2560 | nan             |
+| 1.5701        | 2.6667 | 2600 | nan             |
+| 1.7143        | 2.7077 | 2640 | nan             |
+| 1.5139        | 2.7487 | 2680 | nan             |
+| 1.7144        | 2.7897 | 2720 | nan             |
+| 1.6629        | 2.8308 | 2760 | nan             |
+| 1.5304        | 2.8718 | 2800 | nan             |
+| 1.5267        | 2.9128 | 2840 | nan             |
+| 1.5946        | 2.9538 | 2880 | nan             |
+| 1.6313        | 2.9949 | 2920 | nan             |
+
+
+### Framework versions
+
+- Transformers 4.45.2
+- Pytorch 2.6.0.dev20241122+rocm6.2
+- Datasets 2.14.7
+- Tokenizers 0.20.3

config.json

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+{
+  "_name_or_path": "lmsys/vicuna-7b-v1.5",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 11008,
+  "kernel_size": 5,
+  "max_capacity_prompt": 256,
+  "max_position_embeddings": 4096,
+  "medusa_num_heads": 5,
+  "medusa_num_layers": 1,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 32,
+  "pad_token_id": 0,
+  "pooling": "avgpool",
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.45.2",
+  "use_cache": false,
+  "vocab_size": 32000,
+  "window_size": 32
+}

generation_config.json

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+{
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "max_length": 4096,
+  "pad_token_id": 0,
+  "temperature": null,
+  "top_p": null,
+  "transformers_version": "4.45.2"
+}

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