End of training

README.md

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+---
+license: llama2
+base_model: meta-llama/Llama-2-7b-chat-hf
+tags:
+- generated_from_trainer
+model-index:
+- name: MSc_llama2_finetuned_model_secondData5
+  results: []
+library_name: peft
+---
+
+<!-- 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. -->
+
+# MSc_llama2_finetuned_model_secondData5
+
+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: 0.7187
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+
+The following `bitsandbytes` quantization config was used during training:
+- quant_method: bitsandbytes
+- _load_in_8bit: False
+- _load_in_4bit: True
+- llm_int8_threshold: 6.0
+- llm_int8_skip_modules: None
+- llm_int8_enable_fp32_cpu_offload: False
+- llm_int8_has_fp16_weight: False
+- bnb_4bit_quant_type: nf4
+- bnb_4bit_use_double_quant: True
+- bnb_4bit_compute_dtype: bfloat16
+- load_in_4bit: True
+- load_in_8bit: False
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 3e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.03
+- training_steps: 250
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 3.9919        | 1.36  | 10   | 3.6771          |
+| 3.369         | 2.71  | 20   | 2.9923          |
+| 2.6302        | 4.07  | 30   | 2.2344          |
+| 1.9467        | 5.42  | 40   | 1.7496          |
+| 1.5893        | 6.78  | 50   | 1.5028          |
+| 1.2919        | 8.14  | 60   | 1.1706          |
+| 0.9447        | 9.49  | 70   | 0.8988          |
+| 0.8096        | 10.85 | 80   | 0.8443          |
+| 0.745         | 12.2  | 90   | 0.8025          |
+| 0.6904        | 13.56 | 100  | 0.7733          |
+| 0.6546        | 14.92 | 110  | 0.7539          |
+| 0.6267        | 16.27 | 120  | 0.7387          |
+| 0.5954        | 17.63 | 130  | 0.7316          |
+| 0.5799        | 18.98 | 140  | 0.7256          |
+| 0.5596        | 20.34 | 150  | 0.7228          |
+| 0.5432        | 21.69 | 160  | 0.7215          |
+| 0.5389        | 23.05 | 170  | 0.7176          |
+| 0.5234        | 24.41 | 180  | 0.7175          |
+| 0.518         | 25.76 | 190  | 0.7189          |
+| 0.5122        | 27.12 | 200  | 0.7177          |
+| 0.5036        | 28.47 | 210  | 0.7185          |
+| 0.5049        | 29.83 | 220  | 0.7191          |
+| 0.5041        | 31.19 | 230  | 0.7195          |
+| 0.5028        | 32.54 | 240  | 0.7188          |
+| 0.4973        | 33.9  | 250  | 0.7187          |
+
+
+### Framework versions
+
+- PEFT 0.4.0
+- Transformers 4.38.2
+- Pytorch 2.3.1+cu121
+- Datasets 2.13.1
+- Tokenizers 0.15.2

adapter_config.json

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+{
+  "auto_mapping": null,
+  "base_model_name_or_path": "meta-llama/Llama-2-7b-chat-hf",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "lora_alpha": 64,
+  "lora_dropout": 0.1,
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 32,
+  "revision": null,
+  "target_modules": [
+    "q_proj",
+    "k_proj",
+    "v_proj",
+    "out_proj"
+  ],
+  "task_type": "CAUSAL_LM"
+}

adapter_model.safetensors

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emissions.csv

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+timestamp,experiment_id,project_name,duration,emissions,energy_consumed,country_name,country_iso_code,region,on_cloud,cloud_provider,cloud_region
+2024-06-22T20:34:59,ce747098-b5f3-453c-9606-3f670931bcdf,codecarbon,2998.2358384132385,0.20044933884618016,0.2982393066777835,United Kingdom,GBR,scotland,N,,

runs/Jun22_19-44-57_msc-modeltrain-pod2/events.out.tfevents.1719085501.msc-modeltrain-pod2.9420.0

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+size 17462

special_tokens_map.json

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+{
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": "</s>",
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer.model

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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,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "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": {},
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}

training_args.bin

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