Added model

.gitignore

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+checkpoint-*
+merged*
+runs*
+

README.md

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+---
+license: llama2
+base_model: lmsys/vicuna-7b-v1.5
+tags:
+- generated_from_trainer
+model-index:
+- name: vanilla-model-spr-packing
+  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)
+# vanilla-model-spr-packing
+
+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: 0.5932
+
+## 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: 0.0003
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 4
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 10
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.8211        | 0.0   | 1    | 0.7681          |
+| 0.4915        | 0.15  | 141  | 0.5718          |
+| 0.6263        | 0.3   | 282  | 0.5656          |
+| 0.5618        | 0.45  | 423  | 0.5563          |
+| 0.5024        | 0.6   | 564  | 0.5509          |
+| 0.5353        | 0.75  | 705  | 0.5445          |
+| 0.6207        | 0.9   | 846  | 0.5429          |
+| 0.3893        | 1.04  | 987  | 0.5532          |
+| 0.2821        | 1.19  | 1128 | 0.5521          |
+| 0.4027        | 1.34  | 1269 | 0.5508          |
+| 0.3965        | 1.5   | 1410 | 0.5480          |
+| 0.3884        | 1.65  | 1551 | 0.5449          |
+| 0.3307        | 1.8   | 1692 | 0.5409          |
+| 0.34          | 1.95  | 1833 | 0.5409          |
+| 0.2975        | 2.09  | 1974 | 0.5859          |
+| 0.2742        | 2.24  | 2115 | 0.5910          |
+| 0.2256        | 2.39  | 2256 | 0.5922          |
+| 0.294         | 2.54  | 2397 | 0.5901          |
+| 0.2246        | 2.69  | 2538 | 0.5944          |
+| 0.2038        | 2.84  | 2679 | 0.5932          |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.0.1+cu117
+- Datasets 2.15.0
+- Tokenizers 0.15.0

adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "lmsys/vicuna-7b-v1.5",
+  "bias": "none",
+  "fan_in_fan_out": null,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "lora_alpha": 16,
+  "lora_dropout": 0.05,
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 32,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "v_proj",
+    "gate_proj",
+    "k_proj",
+    "q_proj",
+    "up_proj",
+    "down_proj",
+    "o_proj"
+  ],
+  "task_type": "CAUSAL_LM"
+}

adapter_model.bin

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+size 319977229

config.json

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+{
+  "_name_or_path": "lmsys/vicuna-7b-v1.5",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
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+  "eos_token_id": 2,
+  "hidden_act": "silu",
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+  "max_position_embeddings": 4096,
+  "model_type": "llama",
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+  "num_hidden_layers": 32,
+  "num_key_value_heads": 32,
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+  "quantization_config": {
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+    "load_in_8bit": true,
+    "quant_method": "bitsandbytes"
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+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.35.2",
+  "use_cache": false,
+  "vocab_size": 32000
+}

special_tokens_map.json

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+{
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+    "lstrip": false,
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+    "single_word": false
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+    "single_word": false
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+}

tokenizer.model

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+size 499723

tokenizer_config.json

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+{
+  "add_bos_token": true,
+  "add_eos_token": false,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
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+      "special": true
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+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "legacy": false,
+  "model_max_length": 4096,
+  "pad_token": "<unk>",
+  "padding_side": "right",
+  "sp_model_kwargs": {},
+  "spaces_between_special_tokens": false,
+  "tokenizer_class": "LlamaTokenizer",
+  "trust_remote_code": false,
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false,
+  "use_fast": true
+}