End of training

README.md

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+---
+license: mit
+base_model: microsoft/DialoGPT-large
+tags:
+- generated_from_trainer
+model-index:
+- name: DialoGPT-large-faqs-block-size-400-bs-16-lr-1e-05
+  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. -->
+
+# DialoGPT-large-faqs-block-size-400-bs-16-lr-1e-05
+
+This model is a fine-tuned version of [microsoft/DialoGPT-large](https://huggingface.co/microsoft/DialoGPT-large) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.6788
+
+## 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: 1e-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   | 13   | 5.8404          |
+| No log        | 2.0   | 26   | 5.0890          |
+| No log        | 3.0   | 39   | 4.6086          |
+| No log        | 4.0   | 52   | 4.1995          |
+| No log        | 5.0   | 65   | 3.8393          |
+| No log        | 6.0   | 78   | 3.5620          |
+| No log        | 7.0   | 91   | 3.3420          |
+| No log        | 8.0   | 104  | 3.1838          |
+| No log        | 9.0   | 117  | 3.0612          |
+| No log        | 10.0  | 130  | 2.9650          |
+| No log        | 11.0  | 143  | 2.8926          |
+| No log        | 12.0  | 156  | 2.8375          |
+| No log        | 13.0  | 169  | 2.8019          |
+| No log        | 14.0  | 182  | 2.7654          |
+| No log        | 15.0  | 195  | 2.7348          |
+| No log        | 16.0  | 208  | 2.7130          |
+| No log        | 17.0  | 221  | 2.6977          |
+| No log        | 18.0  | 234  | 2.6874          |
+| No log        | 19.0  | 247  | 2.6813          |
+| No log        | 20.0  | 260  | 2.6788          |
+
+
+### Framework versions
+
+- Transformers 4.33.0.dev0
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.4.dev0
+- Tokenizers 0.13.3

config.json

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+{
+  "_name_or_path": "microsoft/DialoGPT-large",
+  "activation_function": "gelu_new",
+  "architectures": [
+    "GPT2LMHeadModel"
+  ],
+  "attn_pdrop": 0.1,
+  "bos_token_id": 50256,
+  "embd_pdrop": 0.1,
+  "eos_token_id": 50256,
+  "initializer_range": 0.02,
+  "layer_norm_epsilon": 1e-05,
+  "model_type": "gpt2",
+  "n_ctx": 1024,
+  "n_embd": 1280,
+  "n_head": 20,
+  "n_inner": null,
+  "n_layer": 36,
+  "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": {
+    "conversational": {
+      "max_length": 1000
+    }
+  },
+  "torch_dtype": "float32",
+  "transformers_version": "4.33.0.dev0",
+  "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": "4.33.0.dev0"
+}

pytorch_model.bin

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training_args.bin

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