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README.md

@@ -1,3 +1,54 @@
 ---
-license: bigscience-openrail-m
+license: bigscience-bloom-rail-1.0
+tags:
+- generated_from_trainer
+datasets:
+- dataset
+model-index:
+- name: cdcmodel_train02
+  results: []
 ---
+
+<!-- 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. -->
+
+# cdcmodel_train02
+
+This model is a fine-tuned version of [bigscience/bloom-560m](https://huggingface.co/bigscience/bloom-560m) on the dataset dataset.
+
+## 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: 3e-05
+- train_batch_size: 6
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 2.0
+- mixed_precision_training: Native AMP
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.24.0.dev0
+- Pytorch 1.12.1+cu102
+- Datasets 2.6.1
+- Tokenizers 0.13.1

all_results.json

@@ -1,8 +1,19 @@
 {
-    "epoch": 100.0,
-    "train_loss": 1.9559951608499904,
-    "train_runtime": 50817.2182,
+    "epoch": 2.0,
+    "eval_HasAns_exact": 0.4922874958976042,
+    "eval_HasAns_f1": 0.9262843216805502,
+    "eval_HasAns_total": 3047,
+    "eval_best_exact": 0.4922874958976042,
+    "eval_best_exact_thresh": 0.0,
+    "eval_best_f1": 0.9262843216805502,
+    "eval_best_f1_thresh": 0.0,
+    "eval_exact": 0.4922874958976042,
+    "eval_f1": 0.9262843216805502,
+    "eval_samples": 3229,
+    "eval_total": 3047,
+    "train_loss": 4.552647050019282,
+    "train_runtime": 1011.1429,
     "train_samples": 7536,
-    "train_samples_per_second": 14.83,
-    "train_steps_per_second": 2.472
+    "train_samples_per_second": 14.906,
+    "train_steps_per_second": 2.484
 }

eval_results.json

@@ -0,0 +1,14 @@
+{
+    "epoch": 2.0,
+    "eval_HasAns_exact": 0.4922874958976042,
+    "eval_HasAns_f1": 0.9262843216805502,
+    "eval_HasAns_total": 3047,
+    "eval_best_exact": 0.4922874958976042,
+    "eval_best_exact_thresh": 0.0,
+    "eval_best_f1": 0.9262843216805502,
+    "eval_best_f1_thresh": 0.0,
+    "eval_exact": 0.4922874958976042,
+    "eval_f1": 0.9262843216805502,
+    "eval_samples": 3229,
+    "eval_total": 3047
+}

pytorch_model.bin

@@ -1,3 +1,3 @@
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+oid sha256:d591b1b4e351c27d7da52d698b9c14835799a9e89793a92448ee2b3994bdc879
+size 218404978