End of training

README.md

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+---
+license: bsd-3-clause
+base_model: NumbersStation/nsql-350M
+tags:
+- generated_from_trainer
+model-index:
+- name: text2sql
+  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. -->
+
+# text2sql
+
+This model is a fine-tuned version of [NumbersStation/nsql-350M](https://huggingface.co/NumbersStation/nsql-350M) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0114
+
+## 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-05
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 15
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.1122        | 1.0   | 22   | 0.0555          |
+| 0.0564        | 2.0   | 44   | 0.0263          |
+| 0.0368        | 3.0   | 66   | 0.0222          |
+| 0.0266        | 4.0   | 88   | 0.0161          |
+| 0.0267        | 5.0   | 110  | 0.0175          |
+| 0.0195        | 6.0   | 132  | 0.0153          |
+| 0.0165        | 7.0   | 154  | 0.0119          |
+| 0.0145        | 8.0   | 176  | 0.0116          |
+| 0.0127        | 9.0   | 198  | 0.0123          |
+| 0.0131        | 10.0  | 220  | 0.0127          |
+| 0.0122        | 11.0  | 242  | 0.0108          |
+| 0.0114        | 12.0  | 264  | 0.0112          |
+| 0.0103        | 13.0  | 286  | 0.0113          |
+| 0.0099        | 14.0  | 308  | 0.0114          |
+
+
+### Framework versions
+
+- Transformers 4.33.3
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.5
+- Tokenizers 0.13.3

config.json

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+{
+  "_name_or_path": "NumbersStation/nsql-350M",
+  "activation_function": "gelu_new",
+  "architectures": [
+    "CodeGenForCausalLM"
+  ],
+  "attn_pdrop": 0.0,
+  "bos_token_id": 1,
+  "embd_pdrop": 0.0,
+  "eos_token_id": 50256,
+  "gradient_checkpointing": false,
+  "initializer_range": 0.02,
+  "layer_norm_epsilon": 1e-05,
+  "model_type": "codegen",
+  "n_ctx": 2048,
+  "n_embd": 1024,
+  "n_head": 16,
+  "n_inner": null,
+  "n_layer": 20,
+  "n_positions": 2048,
+  "pad_token_id": 50256,
+  "resid_pdrop": 0.0,
+  "rotary_dim": 32,
+  "scale_attn_weights": true,
+  "summary_activation": null,
+  "summary_first_dropout": 0.1,
+  "summary_proj_to_labels": true,
+  "summary_type": "cls_index",
+  "summary_use_proj": true,
+  "task_specific_params": {
+    "text-generation": {
+      "do_sample": true,
+      "max_length": 50,
+      "temperature": 1.0
+    }
+  },
+  "tie_word_embeddings": false,
+  "tokenizer_class": "GPT2Tokenizer",
+  "torch_dtype": "float32",
+  "transformers_version": "4.33.3",
+  "use_cache": true,
+  "vocab_size": 51200
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 50256,
+  "transformers_version": "4.33.3"
+}

pytorch_model.bin

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+size 1426903649

training_args.bin

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