Saiga_timelist_task30steps

README.md

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+---
+library_name: peft
+tags:
+- generated_from_trainer
+base_model: TheBloke/Llama-2-7B-fp16
+model-index:
+- name: Saiga_timelist_task30steps
+  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. -->
+
+# Saiga_timelist_task30steps
+
+This model is a fine-tuned version of [TheBloke/Llama-2-7B-fp16](https://huggingface.co/TheBloke/Llama-2-7B-fp16) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.7980
+
+## 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: 5e-06
+- train_batch_size: 2
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 10
+- total_train_batch_size: 20
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- training_steps: 30
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.5376        | 0.05  | 2    | 1.7979          |
+| 1.6041        | 0.1   | 4    | 1.7978          |
+| 1.6858        | 0.15  | 6    | 1.7979          |
+| 1.7722        | 0.21  | 8    | 1.7979          |
+| 1.6524        | 0.26  | 10   | 1.7979          |
+| 1.6374        | 0.31  | 12   | 1.7979          |
+| 1.7269        | 0.36  | 14   | 1.7979          |
+| 1.7028        | 0.41  | 16   | 1.7978          |
+| 1.6422        | 0.46  | 18   | 1.7980          |
+| 1.666         | 0.52  | 20   | 1.7979          |
+| 1.5679        | 0.57  | 22   | 1.7977          |
+| 1.7614        | 0.62  | 24   | 1.7978          |
+| 1.7053        | 0.67  | 26   | 1.7978          |
+| 1.7438        | 0.72  | 28   | 1.7981          |
+| 1.8348        | 0.77  | 30   | 1.7980          |
+
+
+### Framework versions
+
+- PEFT 0.10.0
+- Transformers 4.39.3
+- Pytorch 2.2.2+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "TheBloke/Llama-2-7B-fp16",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "o_proj",
+    "k_proj",
+    "v_proj",
+    "q_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

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+size 33589040

training_args.bin

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