initial small model and config

README.md

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+language:
+  - en
+license: apache-2.0
+tags:
+  - reddit
+datasets:
+  - georeactor/reddit_one_ups_seq2seq_2014
+
+# t5-reddit-2014
+
+T5-small model fine-tuned on Reddit "One-Ups" / "Clapbacks" dataset. Each reply from
+the fine-tuning has a vote-score 1.5x or higher than the parent comment.
+
+From a few tests it seems to have adopted a snarky tone. Common reply is "I'm not a shit."
+
+## Process
+
+Training notebook: https://github.com/Georeactor/reddit-one-ups/blob/main/training-models/t5-seq2seq-2014.ipynb
+
+- Started with [t5-small](https://huggingface.co/t5-small) so I could run it on CoLab.
+- Fine-tuned on first 80% of [georeactor/reddit_one_ups_seq2seq_2014](https://huggingface.co/datasets/georeactor/reddit_one_ups_seq2seq_2014) for one epoch, batch size = 2.
+- Loss did not move much during this epoch.
+- Future experiments should use a larger model, larger batch size (could easily have done batch_size = 4 on CoLab), full dataset if we are not worried about eval.

config.json

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+{
+  "architectures": [
+    "T5ForConditionalGeneration"
+  ],
+  "d_ff": 2048,
+  "d_kv": 64,
+  "d_model": 512,
+  "decoder_start_token_id": 0,
+  "dense_act_fn": "relu",
+  "dropout_rate": 0.1,
+  "eos_token_id": 1,
+  "feed_forward_proj": "relu",
+  "initializer_factor": 1.0,
+  "is_encoder_decoder": true,
+  "is_gated_act": false,
+  "layer_norm_epsilon": 1e-06,
+  "model_type": "t5",
+  "n_positions": 512,
+  "num_decoder_layers": 6,
+  "num_heads": 8,
+  "num_layers": 6,
+  "output_past": true,
+  "pad_token_id": 0,
+  "relative_attention_max_distance": 128,
+  "relative_attention_num_buckets": 32,
+  "task_specific_params": {
+    "reply_to_comment": {
+      "early_stopping": true,
+      "max_length": 300,
+      "num_beams": 4,
+      "prefix": "Respond to: "
+    }
+  },
+  "torch_dtype": "float32",
+  "transformers_version": "4.25.1",
+  "vocab_size": 32128
+}

pytorch_model.bin

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special_tokens_map.json

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tokenizer_config.json

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training_args.bin

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