End of training

README.md

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+---
+license: apache-2.0
+library_name: peft
+tags:
+- generated_from_trainer
+base_model: TinyLlama/TinyLlama-1.1B-Chat-v1.0
+model-index:
+- name: logs
+  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. -->
+
+# logs
+
+This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-Chat-v1.0](https://huggingface.co/TinyLlama/TinyLlama-1.1B-Chat-v1.0) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7854
+
+## 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
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- num_epochs: 2
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.9083        | 0.16  | 100  | 0.9578          |
+| 0.7997        | 0.32  | 200  | 0.9078          |
+| 0.7535        | 0.48  | 300  | 0.8746          |
+| 0.7232        | 0.64  | 400  | 0.8580          |
+| 0.6994        | 0.8   | 500  | 0.8348          |
+| 0.6882        | 0.96  | 600  | 0.8228          |
+| 0.6433        | 1.12  | 700  | 0.8008          |
+| 0.5995        | 1.28  | 800  | 0.7912          |
+| 0.5908        | 1.44  | 900  | 0.7864          |
+| 0.5902        | 1.6   | 1000 | 0.7836          |
+| 0.5671        | 1.76  | 1100 | 0.7850          |
+| 0.5749        | 1.92  | 1200 | 0.7854          |
+
+
+### Framework versions
+
+- PEFT 0.8.2
+- Transformers 4.38.0.dev0
+- Pytorch 2.1.2
+- 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-Chat-v1.0",
+  "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": 64,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 32,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "q_proj",
+    "gate_proj",
+    "down_proj",
+    "v_proj",
+    "k_proj",
+    "up_proj",
+    "o_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_rslora": false
+}

adapter_model.safetensors

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+size 100966336

runs/Feb08_03-22-26_0809d1f621e4/events.out.tfevents.1707362555.0809d1f621e4.34.0

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+size 10342

training_args.bin

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