End of training

README.md

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+---
+license: apache-2.0
+base_model: distilbert/distilgpt2
+tags:
+- generated_from_trainer
+model-index:
+- name: healthinsurance_textgen
+  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. -->
+
+# healthinsurance_textgen
+
+This model is a fine-tuned version of [distilbert/distilgpt2](https://huggingface.co/distilbert/distilgpt2) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.6360
+
+## 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: 2e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 20
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| No log        | 1.0   | 10   | 2.5799          |
+| No log        | 2.0   | 20   | 2.3829          |
+| No log        | 3.0   | 30   | 2.2232          |
+| No log        | 4.0   | 40   | 2.1162          |
+| No log        | 5.0   | 50   | 2.0297          |
+| No log        | 6.0   | 60   | 1.9680          |
+| No log        | 7.0   | 70   | 1.9128          |
+| No log        | 8.0   | 80   | 1.8481          |
+| No log        | 9.0   | 90   | 1.8161          |
+| No log        | 10.0  | 100  | 1.7868          |
+| No log        | 11.0  | 110  | 1.7447          |
+| No log        | 12.0  | 120  | 1.7269          |
+| No log        | 13.0  | 130  | 1.7026          |
+| No log        | 14.0  | 140  | 1.6866          |
+| No log        | 15.0  | 150  | 1.6742          |
+| No log        | 16.0  | 160  | 1.6633          |
+| No log        | 17.0  | 170  | 1.6499          |
+| No log        | 18.0  | 180  | 1.6432          |
+| No log        | 19.0  | 190  | 1.6379          |
+| No log        | 20.0  | 200  | 1.6360          |
+
+
+### Framework versions
+
+- Transformers 4.39.3
+- Pytorch 2.2.2+cpu
+- Datasets 2.18.0
+- Tokenizers 0.15.2

config.json

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+{
+  "_name_or_path": "distilbert/distilgpt2",
+  "_num_labels": 1,
+  "activation_function": "gelu_new",
+  "architectures": [
+    "GPT2LMHeadModel"
+  ],
+  "attn_pdrop": 0.1,
+  "bos_token_id": 50256,
+  "embd_pdrop": 0.1,
+  "eos_token_id": 50256,
+  "id2label": {
+    "0": "LABEL_0"
+  },
+  "initializer_range": 0.02,
+  "label2id": {
+    "LABEL_0": 0
+  },
+  "layer_norm_epsilon": 1e-05,
+  "model_type": "gpt2",
+  "n_ctx": 1024,
+  "n_embd": 768,
+  "n_head": 12,
+  "n_inner": null,
+  "n_layer": 6,
+  "n_positions": 1024,
+  "reorder_and_upcast_attn": false,
+  "resid_pdrop": 0.1,
+  "scale_attn_by_inverse_layer_idx": false,
+  "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
+    }
+  },
+  "torch_dtype": "float32",
+  "transformers_version": "4.39.3",
+  "use_cache": true,
+  "vocab_size": 50257
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 50256,
+  "eos_token_id": 50256,
+  "transformers_version": "4.39.3"
+}

model.safetensors

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runs/Apr22_11-13-40_INBENRAMV2/events.out.tfevents.1713764623.INBENRAMV2.28212.2

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runs/Apr22_11-13-40_INBENRAMV2/events.out.tfevents.1713767451.INBENRAMV2.28212.3

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training_args.bin

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