Updated Model

README.md

@@ -1,3 +1,103 @@
 ---
-license: apache-2.0
----
+datasets:
+- samsum
+pipeline_tag: summarization
+
+widget:
+  - text: >
+      Laurie: So, what are your plans for this weekend?
+      
+      Christie: I don’t know. Do you want to get together or something?
+      
+      Sarah: How about going to see a movie? Cinemax 26 on Carson Boulevard is showing Enchanted.
+      Laurie: That sounds like a good idea. Maybe we should go out to eat beforehand.
+      
+      Sarah: It is fine with me. Where do you want to meet?
+
+      Christie: Let’s meet at Summer Pizza House. I have not gone there for a long time.
+      
+      Laurie: Good idea again. I heard they just came up with a new pizza. It should be good because Summer Pizza House always has the best pizza in town.
+      
+      Sarah: When should we meet?
+      
+      Christie: Well, the movie is shown at 2:00PM, 4:00PM, 6:00PM and 8:00PM.
+      
+      Laurie: Why don’t we go to the 2:00PM show? We can meet at Summer Pizza House at noon. That will give us plenty of time to enjoy our pizza.
+      
+      Sarah: My cousin Karen is in town. Can I bring her along? I hate to leave her home alone.
+      
+      Christie: Karen is in town? Yes, bring her along. Laurie, you remember Karen? We met her at Sara’s high school graduation party two years ago.
+      
+      Laurie: I do not quite remember her. What does she look like?
+      
+      Sarah: She has blond hair, she is kind of slender, and she is about your height.
+      
+      Laurie: She wears eyeglasses, right?
+      
+      Sarah: Yes, and she was playing the piano off and on during the party.
+      
+      Laurie: I remember her now. Yes, do bring her along Sara. She is such a nice person, and funny too.
+      
+      Sarah: She will be happy to meet both of you again.
+      
+      Christie: What is she doing these days?
+      
+      Sarah: She graduated last June, and she will start her teaching career next week when the new school term begins.
+      
+      Laurie: What grade is she going to teach?
+      
+      Sarah: She will teach kindergarten. She loves working with kids, and she always has such a good rapport with them
+      
+      Christie: Kindergarten? She must be a very patient person. I always think kindergarten is the most difficult class to teach. Most of the kids have never been to school, and they have
+      e never been away from mommy for long.
+      
+      Sarah:  I think Karen will do fine. She knows how to handle young children
+      
+      Laurie: I think the first few weeks will be tough. However, once the routine is set, it should not be too difficult to teach kindergarten.
+      
+      Christie: You are right. The kids might even look forward to going to school since they have so many friends to play with.
+      
+      Sarah: There are so many new things for them to do at school too. They do a lot of crafts in kindergarten. I am always amazed by the things kindergarten teachers do. 
+      
+      Laurie: Yes, I have seen my niece come home with so many neat stuff.
+      
+      Christie: Maybe we can ask Karen to show us some of the things that we can do for this Halloween.
+      
+      Laurie: Maybe we can stop by the craft store after the movie. What do you think, Sara?
+      
+      Sarah: I will talk to her. I think she will like that. It will help her with school projects when Halloween comes.
+
+      Christie: Michael’s is a good store for crafts. It always carries a variety of things, and you can find almost anything there.
+      
+      Laurie: There is a Michaels store not far away from Cinemax 26. I believe it is just around the corner, on Pioneer Avenue. We can even walk over there.
+      
+      Sarah: So, we plan to meet for pizza at noon, go to the movies at two, and shop at Michael’s afterward. Right?
+
+      Laurie and Christie: Yes.      
+model-index:
+  - name: bart-large-cnn-samsum
+    results:
+      - task:
+          type: summarization
+          name: Conversation Summarization
+        dataset:
+          name: >-
+            SAMSum Corpus: A Human-annotated Dialogue Dataset for Abstractive
+            Summarization
+          type: samsum
+        metrics:
+          - type: rogue-1
+            value: 54.8764
+            name: Validation ROGUE-1
+          - type: rogue-2
+            value: 29.6869,
+            name: Validation ROGUE-2
+          - type: rogue-l
+            value: 44.9874
+            name: Validation ROGUE-L
+          - type: loss
+            value: 1.47812
+            name: loss     
+
+
+---

config.json

@@ -0,0 +1,76 @@
+{
+  "_name_or_path": "facebook/bart-large-xsum",
+  "_num_labels": 3,
+  "activation_dropout": 0.0,
+  "activation_function": "gelu",
+  "add_bias_logits": false,
+  "add_final_layer_norm": false,
+  "architectures": [
+    "BartForConditionalGeneration"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 0,
+  "classif_dropout": 0.0,
+  "classifier_dropout": 0.0,
+  "d_model": 1024,
+  "decoder_attention_heads": 16,
+  "decoder_ffn_dim": 4096,
+  "decoder_layerdrop": 0.0,
+  "decoder_layers": 12,
+  "decoder_start_token_id": 2,
+  "dropout": 0.1,
+  "early_stopping": true,
+  "encoder_attention_heads": 16,
+  "encoder_ffn_dim": 4096,
+  "encoder_layerdrop": 0.0,
+  "encoder_layers": 12,
+  "eos_token_id": 2,
+  "eos_token_ids": [
+    2
+  ],
+  "forced_eos_token_id": 2,
+  "gradient_checkpointing": false,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2"
+  },
+  "init_std": 0.02,
+  "is_encoder_decoder": true,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2
+  },
+  "max_length": 62,
+  "max_position_embeddings": 1024,
+  "min_length": 11,
+  "model_type": "bart",
+  "no_repeat_ngram_size": 3,
+  "normalize_before": false,
+  "normalize_embedding": true,
+  "num_beams": 6,
+  "num_hidden_layers": 12,
+  "output_past": true,
+  "pad_token_id": 1,
+  "prefix": " ",
+  "replacing_rate": 0,
+  "scale_embedding": false,
+  "static_position_embeddings": false,
+  "student_decoder_layers": null,
+  "student_encoder_layers": null,
+  "task_specific_params": {
+    "summarization": {
+      "early_stopping": true,
+      "length_penalty": 2.0,
+      "max_length": 142,
+      "min_length": 56,
+      "no_repeat_ngram_size": 3,
+      "num_beams": 4
+    }
+  },
+  "torch_dtype": "float32",
+  "transformers_version": "4.26.0",
+  "use_cache": true,
+  "vocab_size": 50264
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 0,
+  "decoder_start_token_id": 2,
+  "early_stopping": true,
+  "eos_token_id": 2,
+  "forced_eos_token_id": 2,
+  "max_length": 62,
+  "min_length": 11,
+  "no_repeat_ngram_size": 3,
+  "num_beams": 6,
+  "pad_token_id": 1,
+  "transformers_version": "4.26.0"
+}

gitattributes.txt

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pytorch_model.bin

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special_tokens_map.json

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+  "cls_token": "<s>",
+  "eos_token": "</s>",
+  "mask_token": {
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+    "lstrip": true,
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+    "single_word": false
+  },
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "unk_token": "<unk>"
+}

tokenizer_config.json

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+{
+  "add_prefix_space": false,
+  "bos_token": "<s>",
+  "cls_token": "<s>",
+  "eos_token": "</s>",
+  "errors": "replace",
+  "mask_token": "<mask>",
+  "model_max_length": 1024,
+  "name_or_path": "facebook/bart-large-xsum",
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "special_tokens_map_file": null,
+  "tokenizer_class": "BartTokenizer",
+  "trim_offsets": true,
+  "unk_token": "<unk>"
+}

training_args.bin

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