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README.md

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+---
+tags:
+- generated_from_trainer
+datasets:
+- xsum
+metrics:
+- rouge
+model-index:
+- name: large-6-4--nonfp16
+  results:
+  - task:
+      name: Summarization
+      type: summarization
+    dataset:
+      name: xsum
+      type: xsum
+      config: default
+      split: validation
+      args: default
+    metrics:
+    - name: Rouge1
+      type: rouge
+      value: 42.7257
+---
+
+<!-- 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. -->
+
+# large-6-4--nonfp16
+
+This model is a fine-tuned version of [x/large-6-4/](https://huggingface.co/x/large-6-4/) on the xsum dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.5524
+- Rouge1: 42.7257
+- Rouge2: 19.2975
+- Rougel: 34.7615
+- Rougelsum: 34.7583
+- Gen Len: 26.3953
+
+## 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: 0.0001
+- train_batch_size: 8
+- eval_batch_size: 32
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: constant
+- num_epochs: 3.0
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.27.0.dev0
+- Pytorch 1.13.1+cu117
+- Datasets 2.10.0
+- Tokenizers 0.13.2

all_results.json

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+    "eval_loss": 1.5524234771728516,
+    "eval_rouge1": 42.7257,
+    "eval_rouge2": 19.2975,
+    "eval_rougeL": 34.7615,
+    "eval_rougeLsum": 34.7583,
+    "eval_runtime": 2256.1898,
+    "eval_samples": 11327,
+    "eval_samples_per_second": 5.02,
+    "eval_steps_per_second": 0.157,
+    "train_loss": 1.7111171247220764,
+    "train_runtime": 116164.4127,
+    "train_samples": 204017,
+    "train_samples_per_second": 5.269,
+    "train_steps_per_second": 0.082
+}

config.json

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+  "layer_norm_epsilon": 1e-06,
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+  "num_heads": 16,
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+  "output_past": true,
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+  "relative_attention_max_distance": 128,
+  "relative_attention_num_buckets": 32,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float32",
+  "transformers_version": "4.27.0.dev0",
+  "use_cache": true,
+  "vocab_size": 32128
+}

eval_results.json

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+    "eval_loss": 1.5524234771728516,
+    "eval_rouge1": 42.7257,
+    "eval_rouge2": 19.2975,
+    "eval_rougeL": 34.7615,
+    "eval_rougeLsum": 34.7583,
+    "eval_runtime": 2256.1898,
+    "eval_samples": 11327,
+    "eval_samples_per_second": 5.02,
+    "eval_steps_per_second": 0.157
+}

generation_config.json

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+}

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