Adding model, graphs and metadata.

README.md

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+---
+language: en
+license: apache-2.0
+tags:
+- summarization
+datasets:
+- cnn_dailymail
+metrics:
+- R1
+- R2
+- RL
+---
+
+## facebook/bart-base model fine-tuned on CNN/DailyMail
+
+This model was created using the [nn_pruning](https://github.com/huggingface/nn_pruning) python library: the linear layers contains **35%** of the original  weights.
+
+
+
+The model contains **53%** of the original weights **overall** (the embeddings account for a significant part of the model, and they are not pruned by this method).
+
+<div class="graph"><script src="/echarlaix/bart-base-cnn-r2-19.4-d35-hybrid/model_card/density_info.js" id="7507398b-ee42-4485-9864-0f24bc58e3b6"></script></div>
+
+## Fine-Pruning details
+This model was fine-tuned from the HuggingFace [model](https://huggingface.co/facebook/bart-base).
+
+A side-effect of the block pruning is that some of the attention heads are completely removed: 38 heads were removed on a total of 216 (17.6%).
+
+<div class="graph"><script src="/echarlaix/bart-base-cnn-r2-19.4-d35-hybrid/model_card/pruning_info.js" id="6b1bc00f-17e7-48a4-9c02-c243fa419f29"></script></div>
+
+## Details of the CNN/DailyMail  dataset
+
+|    Dataset    | Split | # samples |
+| ------------- | ----- | --------- |
+| CNN/DailyMail | train |   287K    |
+| CNN/DailyMail | eval  |    13K    |
+
+
+### Results
+
+|    Metric   | # Value   | 
+| ----------- | --------- |
+| **Rouge 1** | **42.18** | 
+| **Rouge 2** | **19.44** | 
+| **Rouge L** | **39.17** | 

config.json

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+{
+  "_name_or_path": "/tmp/tmpt1m1rqo2",
+  "activation_dropout": 0.1,
+  "activation_function": "gelu",
+  "add_bias_logits": false,
+  "add_final_layer_norm": false,
+  "architectures": [
+    "BartForConditionalGeneration"
+  ],
+  "attention_dropout": 0.1,
+  "bos_token_id": 0,
+  "classif_dropout": 0.1,
+  "classifier_dropout": 0.0,
+  "d_model": 768,
+  "decoder_attention_heads": 12,
+  "decoder_ffn_dim": 3072,
+  "decoder_layerdrop": 0.0,
+  "decoder_layers": 6,
+  "decoder_start_token_id": 2,
+  "dropout": 0.1,
+  "early_stopping": true,
+  "encoder_attention_heads": 12,
+  "encoder_ffn_dim": 3072,
+  "encoder_layerdrop": 0.0,
+  "encoder_layers": 6,
+  "eos_token_id": 2,
+  "forced_eos_token_id": 2,
+  "gradient_checkpointing": false,
+  "heads_count": 216,
+  "heads_to_prune": {
+    "0": [],
+    "1": [
+      6
+    ],
+    "10": [
+      3,
+      14,
+      18,
+      20
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+    "11": [
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+    "2": [
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+      6
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+    "3": [
+      0,
+      1,
+      2,
+      7,
+      11
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+    "4": [
+      1,
+      2,
+      5,
+      6,
+      10,
+      11
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+    "5": [
+      3
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+    "6": [
+      12,
+      13,
+      14
+    ],
+    "7": [
+      2,
+      11,
+      16,
+      18,
+      19,
+      23
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+    "8": [
+      16,
+      21
+    ],
+    "9": [
+      3,
+      12,
+      13,
+      15,
+      16,
+      18,
+      22
+    ]
+  },
+  "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_position_embeddings": 1024,
+  "model_type": "bart",
+  "no_repeat_ngram_size": 3,
+  "normalize_before": false,
+  "normalize_embedding": true,
+  "num_beams": 4,
+  "num_hidden_layers": 6,
+  "pad_token_id": 1,
+  "scale_embedding": false,
+  "task_specific_params": {
+    "summarization": {
+      "length_penalty": 1.0,
+      "max_length": 128,
+      "min_length": 12,
+      "num_beams": 4
+    },
+    "summarization_cnn": {
+      "length_penalty": 2.0,
+      "max_length": 142,
+      "min_length": 56,
+      "num_beams": 4
+    },
+    "summarization_xsum": {
+      "length_penalty": 1.0,
+      "max_length": 62,
+      "min_length": 11,
+      "num_beams": 6
+    }
+  },
+  "transformers_version": "4.4.1",
+  "use_cache": true,
+  "vocab_size": 50265
+}

eval/eval_results.json

@@ -0,0 +1,8 @@
+{
+    "eval_gen_len": 79.8541,
+    "eval_loss": 1.8987960815429688,
+    "eval_rouge1": 42.1808,
+    "eval_rouge2": 19.444,
+    "eval_rougeL": 29.1171,
+    "eval_rougeLsum": 39.1713
+}

eval/sparsity_report.json

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model_card/density_info.js

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