Rameesha/OPT-IML-Spider-lamini

README.md

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+---
+license: other
+base_model: facebook/opt-iml-1.3b
+tags:
+- generated_from_trainer
+model-index:
+- name: sql-OPT-IML-Spider
+  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. -->
+
+# sql-OPT-IML-Spider
+
+This model is a fine-tuned version of [facebook/opt-iml-1.3b](https://huggingface.co/facebook/opt-iml-1.3b) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.8649
+
+## 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: 0.0003
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 16
+- total_train_batch_size: 128
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 100
+- training_steps: 400
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.7868        | 0.41  | 20   | 1.8652          |
+| 1.9033        | 0.81  | 40   | 1.8648          |
+| 1.7882        | 1.22  | 60   | 1.8628          |
+| 1.8042        | 1.62  | 80   | 1.8642          |
+| 2.0119        | 2.03  | 100  | 1.8644          |
+| 1.71          | 2.44  | 120  | 1.8647          |
+| 1.8372        | 2.84  | 140  | 1.8660          |
+| 1.9621        | 3.25  | 160  | 1.8660          |
+| 1.7512        | 3.65  | 180  | 1.8638          |
+| 1.9616        | 4.06  | 200  | 1.8638          |
+| 1.8425        | 4.47  | 220  | 1.8628          |
+| 1.7999        | 4.87  | 240  | 1.8637          |
+| 1.9435        | 5.28  | 260  | 1.8636          |
+| 1.7376        | 5.69  | 280  | 1.8657          |
+| 1.8619        | 6.09  | 300  | 1.8656          |
+| 1.9771        | 6.5   | 320  | 1.8651          |
+| 1.7441        | 6.9   | 340  | 1.8641          |
+| 1.9281        | 7.31  | 360  | 1.8639          |
+| 1.8562        | 7.72  | 380  | 1.8621          |
+| 1.8087        | 8.12  | 400  | 1.8649          |
+
+
+### Framework versions
+
+- Transformers 4.33.3
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.5
+- Tokenizers 0.13.3

adapter_config.json

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+{
+  "auto_mapping": null,
+  "base_model_name_or_path": "facebook/opt-iml-1.3b",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "lora_alpha": 16,
+  "lora_dropout": 0.05,
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 16,
+  "revision": null,
+  "target_modules": [
+    "q_proj",
+    "k_proj",
+    "v_proj",
+    "o_proj"
+  ],
+  "task_type": "CAUSAL_LM"
+}

adapter_model.bin

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+size 443

training_args.bin

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