add model files

README.md

@@ -1,6 +1,112 @@
 ---
-license: cc-by-nc-4.0
-language:
-- 'no'
-- en
----
+base_model: meta-llama/Llama-2-7b-chat-hf
+tags:
+- generated_from_trainer
+model-index:
+- name: llama-le-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)
+# llama-le-out
+
+This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6239
+
+## 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: 0.0002
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 4
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 32
+- 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: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.9364        | 0.06  | 100  | 0.8000          |
+| 0.809         | 0.12  | 200  | 0.7724          |
+| 0.8695        | 0.18  | 300  | 0.7571          |
+| 0.7512        | 0.24  | 400  | 0.7406          |
+| 0.8266        | 0.3   | 500  | 0.7327          |
+| 0.7898        | 0.35  | 600  | 0.7238          |
+| 0.9163        | 0.41  | 700  | 0.7135          |
+| 0.6955        | 0.47  | 800  | 0.7025          |
+| 0.7887        | 0.53  | 900  | 0.7009          |
+| 0.7361        | 0.59  | 1000 | 0.6911          |
+| 0.7736        | 0.65  | 1100 | 0.6897          |
+| 0.7135        | 0.71  | 1200 | 0.6859          |
+| 0.8138        | 0.77  | 1300 | 0.6788          |
+| 0.7172        | 0.83  | 1400 | 0.6720          |
+| 0.7387        | 0.89  | 1500 | 0.6695          |
+| 0.7042        | 0.95  | 1600 | 0.6688          |
+| 0.7231        | 1.0   | 1700 | 0.6652          |
+| 0.7136        | 1.06  | 1800 | 0.6626          |
+| 0.694         | 1.12  | 1900 | 0.6583          |
+| 0.7401        | 1.18  | 2000 | 0.6551          |
+| 0.63          | 1.24  | 2100 | 0.6519          |
+| 0.6506        | 1.3   | 2200 | 0.6478          |
+| 0.7436        | 1.36  | 2300 | 0.6457          |
+| 0.5903        | 1.42  | 2400 | 0.6452          |
+| 0.6861        | 1.48  | 2500 | 0.6399          |
+| 0.6576        | 1.54  | 2600 | 0.6412          |
+| 0.6327        | 1.59  | 2700 | 0.6357          |
+| 0.6634        | 1.65  | 2800 | 0.6378          |
+| 0.6419        | 1.71  | 2900 | 0.6349          |
+| 0.6573        | 1.77  | 3000 | 0.6344          |
+| 0.7052        | 1.83  | 3100 | 0.6327          |
+| 0.6438        | 1.89  | 3200 | 0.6292          |
+| 0.713         | 1.95  | 3300 | 0.6283          |
+| 0.6357        | 2.01  | 3400 | 0.6293          |
+| 0.5736        | 2.07  | 3500 | 0.6302          |
+| 0.591         | 2.13  | 3600 | 0.6307          |
+| 0.6995        | 2.19  | 3700 | 0.6295          |
+| 0.6708        | 2.24  | 3800 | 0.6277          |
+| 0.6329        | 2.3   | 3900 | 0.6262          |
+| 0.6138        | 2.36  | 4000 | 0.6271          |
+| 0.6316        | 2.42  | 4100 | 0.6266          |
+| 0.6022        | 2.48  | 4200 | 0.6260          |
+| 0.7221        | 2.54  | 4300 | 0.6252          |
+| 0.6943        | 2.6   | 4400 | 0.6256          |
+| 0.6616        | 2.66  | 4500 | 0.6246          |
+| 0.6185        | 2.72  | 4600 | 0.6247          |
+| 0.6417        | 2.78  | 4700 | 0.6239          |
+| 0.6238        | 2.84  | 4800 | 0.6237          |
+| 0.6024        | 2.89  | 4900 | 0.6236          |
+| 0.6059        | 2.95  | 5000 | 0.6239          |
+
+
+### Framework versions
+
+- Transformers 4.34.1
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.6
+- Tokenizers 0.14.1

adapter_config.json

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+    "v_proj",
+    "down_proj",
+    "k_proj",
+    "q_proj"
+  ],
+  "task_type": "CAUSAL_LM"
+}

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config.json

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+}

merged/config.json

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+}

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+    "1": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<s>",
+  "chat_template": "{% if messages[0]['role'] == 'system' %}{% set loop_messages = messages[1:] %}{% set system_message = messages[0]['content'] %}{% else %}{% set loop_messages = messages %}{% set system_message = false %}{% endif %}{% for message in loop_messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if loop.index0 == 0 and system_message != false %}{% set content = '<<SYS>>\\n' + system_message + '\\n<</SYS>>\\n\\n' + message['content'] %}{% else %}{% set content = message['content'] %}{% endif %}{% if message['role'] == 'user' %}{{ bos_token + '[INST] ' + content.strip() + ' [/INST]' }}{% elif message['role'] == 'assistant' %}{{ ' '  + content.strip() + ' ' + eos_token }}{% endif %}{% endfor %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "legacy": false,
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "</s>",
+  "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": true,
+  "use_fast": true
+}