End of training

README.md

@@ -1,13 +1,31 @@
 ---
+language:
+- en
+- ka
 license: apache-2.0
 base_model: t5-small
 tags:
 - generated_from_trainer
 datasets:
 - opus100
+metrics:
+- bleu
 model-index:
 - name: english-georgian
-  results: []
+  results:
+  - task:
+      name: Translation
+      type: translation
+    dataset:
+      name: opus100 en-ka
+      type: opus100
+      config: en-ka
+      split: validation
+      args: en-ka
+    metrics:
+    - name: Bleu
+      type: bleu
+      value: 44.7969
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -15,7 +33,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 # english-georgian
 
-This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the opus100 dataset.
+This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the opus100 en-ka dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2662
+- Bleu: 44.7969
+- Gen Len: 22.625
 
 ## Model description
 

all_results.json

@@ -0,0 +1,15 @@
+{
+    "epoch": 3.0,
+    "eval_bleu": 44.7969,
+    "eval_gen_len": 22.625,
+    "eval_loss": 0.26616597175598145,
+    "eval_runtime": 122.1534,
+    "eval_samples": 32,
+    "eval_samples_per_second": 0.262,
+    "eval_steps_per_second": 0.065,
+    "train_loss": 0.3655550269614728,
+    "train_runtime": 1226.4853,
+    "train_samples": 5896,
+    "train_samples_per_second": 14.422,
+    "train_steps_per_second": 3.605
+}

eval_results.json

@@ -0,0 +1,10 @@
+{
+    "epoch": 3.0,
+    "eval_bleu": 44.7969,
+    "eval_gen_len": 22.625,
+    "eval_loss": 0.26616597175598145,
+    "eval_runtime": 122.1534,
+    "eval_samples": 32,
+    "eval_samples_per_second": 0.262,
+    "eval_steps_per_second": 0.065
+}

generation_config.json

@@ -1,5 +1,4 @@
 {
-  "_from_model_config": true,
   "decoder_start_token_id": 0,
   "eos_token_id": 1,
   "pad_token_id": 0,

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 3.0,
+    "train_loss": 0.3655550269614728,
+    "train_runtime": 1226.4853,
+    "train_samples": 5896,
+    "train_samples_per_second": 14.422,
+    "train_steps_per_second": 3.605
+}

trainer_state.json

@@ -0,0 +1,76 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 3.0,
+  "eval_steps": 500,
+  "global_step": 4422,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.34,
+      "learning_rate": 4.434644957033017e-05,
+      "loss": 0.484,
+      "step": 500
+    },
+    {
+      "epoch": 0.68,
+      "learning_rate": 3.869289914066034e-05,
+      "loss": 0.4117,
+      "step": 1000
+    },
+    {
+      "epoch": 1.02,
+      "learning_rate": 3.30393487109905e-05,
+      "loss": 0.3563,
+      "step": 1500
+    },
+    {
+      "epoch": 1.36,
+      "learning_rate": 2.7385798281320668e-05,
+      "loss": 0.365,
+      "step": 2000
+    },
+    {
+      "epoch": 1.7,
+      "learning_rate": 2.173224785165084e-05,
+      "loss": 0.3432,
+      "step": 2500
+    },
+    {
+      "epoch": 2.04,
+      "learning_rate": 1.6078697421981004e-05,
+      "loss": 0.3333,
+      "step": 3000
+    },
+    {
+      "epoch": 2.37,
+      "learning_rate": 1.0425146992311172e-05,
+      "loss": 0.3353,
+      "step": 3500
+    },
+    {
+      "epoch": 2.71,
+      "learning_rate": 4.771596562641339e-06,
+      "loss": 0.3278,
+      "step": 4000
+    },
+    {
+      "epoch": 3.0,
+      "step": 4422,
+      "total_flos": 109498918895616.0,
+      "train_loss": 0.3655550269614728,
+      "train_runtime": 1226.4853,
+      "train_samples_per_second": 14.422,
+      "train_steps_per_second": 3.605
+    }
+  ],
+  "logging_steps": 500,
+  "max_steps": 4422,
+  "num_train_epochs": 3,
+  "save_steps": 500,
+  "total_flos": 109498918895616.0,
+  "trial_name": null,
+  "trial_params": null
+}