End of training

README.md

@@ -0,0 +1,71 @@
+---
+license: bigscience-bloom-rail-1.0
+tags:
+- generated_from_trainer
+model-index:
+- name: bloom-560m-finetuned-unnatural-instructions
+  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. -->
+
+# bloom-560m-finetuned-unnatural-instructions
+
+This model is a fine-tuned version of [bigscience/bloom-560m](https://huggingface.co/bigscience/bloom-560m) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.7021
+
+## 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: 5e-05
+- train_batch_size: 1
+- eval_batch_size: 2
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 1.6937        | 0.32  | 1000  | 1.6739          |
+| 1.5527        | 0.63  | 2000  | 1.5767          |
+| 1.5305        | 0.95  | 3000  | 1.5221          |
+| 1.1514        | 1.26  | 4000  | 1.5201          |
+| 1.1564        | 1.58  | 5000  | 1.5042          |
+| 1.1365        | 1.89  | 6000  | 1.4799          |
+| 0.7729        | 2.21  | 7000  | 1.6496          |
+| 0.7713        | 2.52  | 8000  | 1.5909          |
+| 0.8063        | 2.84  | 9000  | 1.6073          |
+| 0.4753        | 3.15  | 10000 | 1.9611          |
+| 0.4719        | 3.47  | 11000 | 2.0177          |
+| 0.4732        | 3.79  | 12000 | 2.0341          |
+| 0.2747        | 4.1   | 13000 | 2.5669          |
+| 0.2582        | 4.42  | 14000 | 2.6801          |
+| 0.2751        | 4.73  | 15000 | 2.6907          |
+
+
+### Framework versions
+
+- Transformers 4.25.1
+- Pytorch 1.13.0+cu116
+- Datasets 2.8.0
+- Tokenizers 0.13.2

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c9340b27ca58d9a11357c0e6bd4343682eb523a87152a723758ed12a0f65fe57
+oid sha256:03b6e8c44e42cb688aad4fe796563da4cf2a8b467e5cc1458382b8beb7778576
 size 2236957537

runs/Dec21_21-56-37_baa09baaf1ca/events.out.tfevents.1671659811.baa09baaf1ca.23312.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f76b7dfa6a37ae4f4f80f958fc81268952f832afe4cdcdef87e4e58646003468
-size 5747
+oid sha256:dd162480632c9abfe9cedcc1c36685297e80bafa0defd029931c1271eed23241
+size 33131

runs/Dec21_21-56-37_baa09baaf1ca/events.out.tfevents.1671665430.baa09baaf1ca.23312.2

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:45b1ff74d9f1d9caf54ed6a8f1c8da670eaf5a1ce42d53f5b81e03158bf6d3bd
+size 311