Finetuned raygx/GPT2-Nepali-Casual-LM model for generating Covid-News; 10 Epochs

README.md

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+---
+tags:
+- generated_from_keras_callback
+model-index:
+- name: Covid-News-Headline-Generator
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information Keras had access to. You should
+probably proofread and complete it, then remove this comment. -->
+
+# Covid-News-Headline-Generator
+
+This model was trained from scratch on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Train Loss: 6.2871
+- Validation Loss: 6.6830
+- Epoch: 4
+
+## 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:
+- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.001}
+- training_precision: float32
+
+### Training results
+
+| Train Loss | Validation Loss | Epoch |
+|:----------:|:---------------:|:-----:|
+| 6.6684     | 6.9298          | 0     |
+| 6.5617     | 6.8545          | 1     |
+| 6.4641     | 6.7858          | 2     |
+| 6.3725     | 6.7307          | 3     |
+| 6.2871     | 6.6830          | 4     |
+
+
+### Framework versions
+
+- Transformers 4.28.1
+- TensorFlow 2.11.0
+- Datasets 2.1.0
+- Tokenizers 0.13.3

config.json

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+{
+  "_name_or_path": "/kaggle/input/nepali-trained-gpt2-casual-language-model/gpt2NepaliCasualLM",
+  "_num_labels": 1,
+  "activation_function": "gelu_new",
+  "architectures": [
+    "GPT2LMHeadModel"
+  ],
+  "attn_pdrop": 0.1,
+  "bos_token_id": 1,
+  "do_sample": true,
+  "embd_pdrop": 0.1,
+  "eos_token_id": 2,
+  "id2label": {
+    "0": "NEUTRAL",
+    "1": "POSITIVE",
+    "2": "NEGATIVE"
+  },
+  "initializer_range": 0.02,
+  "label2id": {
+    "NEGATIVE": 2,
+    "NEUTRAL": 0,
+    "POSITIVE": 1
+  },
+  "layer_norm_epsilon": 1e-05,
+  "max_length": 50,
+  "model_type": "gpt2",
+  "n_ctx": 1024,
+  "n_embd": 768,
+  "n_head": 12,
+  "n_inner": null,
+  "n_layer": 6,
+  "n_positions": 1024,
+  "pad_token_id": 3,
+  "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
+    }
+  },
+  "transformers_version": "4.28.1",
+  "use_cache": true,
+  "vocab_size": 30000
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "do_sample": true,
+  "eos_token_id": 2,
+  "max_length": 50,
+  "pad_token_id": 3,
+  "transformers_version": "4.28.1"
+}

tf_model.h5

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+version https://git-lfs.github.com/spec/v1
+oid sha256:8c3f75b590baa62b8099ee67c4c4c637089385611ccb93759010b0848a320924
+size 357679600