End of training

.gitignore

@@ -0,0 +1 @@
+checkpoint-*/

README.md

@@ -0,0 +1,59 @@
+---
+license: bigscience-bloom-rail-1.0
+tags:
+- generated_from_trainer
+model-index:
+- name: bloom-560m-finetuned-aeslc-subject-generation
+  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-aeslc-subject-generation
+
+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: 2.8211
+
+## 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: 2
+- eval_batch_size: 2
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 8
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 2
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 2.6915        | 1.24  | 200  | 2.8973          |
+
+
+### Framework versions
+
+- Transformers 4.23.0.dev0
+- Pytorch 1.12.1+cu113
+- Datasets 2.5.1
+- Tokenizers 0.13.0

config.json

@@ -0,0 +1,32 @@
+{
+  "_name_or_path": "bigscience/bloom-560m",
+  "apply_residual_connection_post_layernorm": false,
+  "architectures": [
+    "BloomForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "attention_softmax_in_fp32": true,
+  "bias_dropout_fusion": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_dropout": 0.0,
+  "hidden_size": 1024,
+  "initializer_range": 0.02,
+  "layer_norm_epsilon": 1e-05,
+  "masked_softmax_fusion": true,
+  "model_type": "bloom",
+  "n_head": 16,
+  "n_inner": null,
+  "n_layer": 24,
+  "offset_alibi": 100,
+  "pad_token_id": 3,
+  "pretraining_tp": 1,
+  "skip_bias_add": true,
+  "skip_bias_add_qkv": false,
+  "slow_but_exact": false,
+  "torch_dtype": "float32",
+  "transformers_version": "4.23.0.dev0",
+  "unk_token_id": 0,
+  "use_cache": false,
+  "vocab_size": 250880
+}

emissions.csv

@@ -0,0 +1,2 @@
+timestamp,experiment_id,project_name,duration,emissions,energy_consumed,country_name,country_iso_code,region,on_cloud,cloud_provider,cloud_region
+2022-09-29T18:27:45,9573aa4c-b582-4b7e-8ce6-8dd8583ae9f8,codecarbon,1518.779098033905,0.0961819063948379,0.16125567514683462,Spain,ESP,murcia,N,,

pytorch_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a9faf82f1a1d1d2119a5fb09b8b21507f0f8e41d4ba73e97f86de6fade7ad697
+size 2236955191

runs/Sep29_18-02-16_068c02ccd435/1664474546.0514023/events.out.tfevents.1664474546.068c02ccd435.7175.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7f3f85d60ee4944c835379d8e3b38dcb6d0ef33f984d2d092a6ca2c5a6e3f0c9
+size 5607

runs/Sep29_18-02-16_068c02ccd435/events.out.tfevents.1664474546.068c02ccd435.7175.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:528739c4ae136a7235dd6071f343d2efeff210da10d2daf45a5a6ffa362d12e1
+size 5012

runs/Sep29_18-02-16_068c02ccd435/events.out.tfevents.1664476096.068c02ccd435.7175.2

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:82ed618082468eee0c81a63315f782e9a78150f62237fc32e146fe7c6ea4c957
+size 311

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:803da568cd370b68d55c2d72310e34238e3742ec50279e3e6445e1333f5c9c0b
+size 3439