kevinautomation/TinyLlama-1.1B-intermediate-step-1431k-3T_reddit-instruct

README.md

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+---
+license: apache-2.0
+library_name: peft
+tags:
+- trl
+- sft
+- generated_from_trainer
+datasets:
+- generator
+base_model: TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T
+model-index:
+- name: tiny_llama_instruct_generation
+  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. -->
+
+# tiny_llama_instruct_generation
+
+This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T](https://huggingface.co/TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T) on the generator dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.0948
+
+## 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: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: constant
+- lr_scheduler_warmup_steps: 0.03
+- training_steps: 500
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 2.3941        | 0.01  | 20   | 2.3714          |
+| 2.3059        | 0.01  | 40   | 2.2499          |
+| 2.2079        | 0.02  | 60   | 2.2003          |
+| 2.1916        | 0.02  | 80   | 2.1705          |
+| 2.1766        | 0.03  | 100  | 2.1457          |
+| 2.1583        | 0.03  | 120  | 2.1343          |
+| 2.1204        | 0.04  | 140  | 2.1238          |
+| 2.1493        | 0.04  | 160  | 2.1187          |
+| 2.1408        | 0.05  | 180  | 2.1145          |
+| 2.1331        | 0.06  | 200  | 2.1116          |
+| 2.1736        | 0.06  | 220  | 2.1094          |
+| 2.1299        | 0.07  | 240  | 2.1072          |
+| 2.1389        | 0.07  | 260  | 2.1050          |
+| 2.1164        | 0.08  | 280  | 2.1050          |
+| 2.1115        | 0.08  | 300  | 2.1040          |
+| 2.1139        | 0.09  | 320  | 2.1024          |
+| 2.1158        | 0.1   | 340  | 2.1021          |
+| 2.1342        | 0.1   | 360  | 2.1001          |
+| 2.1006        | 0.11  | 380  | 2.0989          |
+| 2.1287        | 0.11  | 400  | 2.0990          |
+| 2.1287        | 0.12  | 420  | 2.0975          |
+| 2.1573        | 0.12  | 440  | 2.0967          |
+| 2.119         | 0.13  | 460  | 2.0948          |
+| 2.1301        | 0.13  | 480  | 2.0947          |
+| 2.0913        | 0.14  | 500  | 2.0948          |
+
+
+### Framework versions
+
+- PEFT 0.8.2
+- Transformers 4.37.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.1

adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 64,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "v_proj",
+    "q_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_rslora": false
+}

adapter_model.safetensors

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runs/Feb03_14-41-34_d8bf34b29739/events.out.tfevents.1706971339.d8bf34b29739.3514.0

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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,
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+      "single_word": false,
+      "special": true
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<s>",
+  "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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