Delete output

output/.ipynb_checkpoints/README-checkpoint.md

@@ -1,57 +0,0 @@
----
-license: apache-2.0
-base_model: nferruz/ProtGPT2
-tags:
-- generated_from_trainer
-metrics:
-- accuracy
-model-index:
-- name: output
-  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. -->
-
-# output
-
-This model is a fine-tuned version of [nferruz/ProtGPT2](https://huggingface.co/nferruz/ProtGPT2) on an unknown dataset.
-It achieves the following results on the evaluation set:
-- Loss: 17.4453
-- Accuracy: 0.0333
-
-## 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: 1e-06
-- train_batch_size: 8
-- eval_batch_size: 8
-- seed: 42
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: linear
-- num_epochs: 3.0
-
-### Training results
-
-
-
-### Framework versions
-
-- Transformers 4.41.0.dev0
-- Pytorch 2.3.0+cu121
-- Datasets 2.19.1
-- Tokenizers 0.19.1

output/.ipynb_checkpoints/config-checkpoint.json

@@ -1,39 +0,0 @@
-{
-  "_name_or_path": "nferruz/ProtGPT2",
-  "activation_function": "gelu_new",
-  "architectures": [
-    "GPT2LMHeadModel"
-  ],
-  "attn_pdrop": 0.1,
-  "bos_token_id": 0,
-  "embd_pdrop": 0.1,
-  "eos_token_id": 0,
-  "initializer_range": 0.02,
-  "layer_norm_epsilon": 1e-05,
-  "model_type": "gpt2",
-  "n_ctx": 1024,
-  "n_embd": 1280,
-  "n_head": 20,
-  "n_inner": null,
-  "n_layer": 36,
-  "n_positions": 1024,
-  "reorder_and_upcast_attn": false,
-  "resid_pdrop": 0.1,
-  "scale_attn_by_inverse_layer_idx": false,
-  "scale_attn_weights": true,
-  "summary_activation": null,
-  "summary_first_dropout": 0.1,
-  "summary_proj_to_labels": true,
-  "summary_type": "cls_index",
-  "summary_use_proj": true,
-  "task_specific_params": {
-    "text-generation": {
-      "do_sample": true,
-      "max_length": 50
-    }
-  },
-  "torch_dtype": "float32",
-  "transformers_version": "4.41.0.dev0",
-  "use_cache": true,
-  "vocab_size": 50261
-}

output/README.md

@@ -1,57 +0,0 @@
----
-license: apache-2.0
-base_model: nferruz/ProtGPT2
-tags:
-- generated_from_trainer
-metrics:
-- accuracy
-model-index:
-- name: output
-  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. -->
-
-# output
-
-This model is a fine-tuned version of [nferruz/ProtGPT2](https://huggingface.co/nferruz/ProtGPT2) on an unknown dataset.
-It achieves the following results on the evaluation set:
-- Loss: 17.4453
-- Accuracy: 0.0333
-
-## 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: 1e-06
-- train_batch_size: 8
-- eval_batch_size: 8
-- seed: 42
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: linear
-- num_epochs: 3.0
-
-### Training results
-
-
-
-### Framework versions
-
-- Transformers 4.41.0.dev0
-- Pytorch 2.3.0+cu121
-- Datasets 2.19.1
-- Tokenizers 0.19.1

output/added_tokens.json

@@ -1,6 +0,0 @@
-{
-  "LABEL": 50258,
-  "NEGATIVE": 50260,
-  "POSITIVE": 50259,
-  "SEQUENCE": 50257
-}

output/all_results.json

@@ -1,16 +0,0 @@
-{
-    "epoch": 3.0,
-    "eval_accuracy": 0.033327800217635886,
-    "eval_loss": 17.445270538330078,
-    "eval_runtime": 64.8009,
-    "eval_samples": 53,
-    "eval_samples_per_second": 0.818,
-    "eval_steps_per_second": 0.108,
-    "perplexity": 37703765.88695272,
-    "total_flos": 2755037940940800.0,
-    "train_loss": 18.205491054205247,
-    "train_runtime": 2686.1496,
-    "train_samples": 211,
-    "train_samples_per_second": 0.236,
-    "train_steps_per_second": 0.03
-}

output/config.json

@@ -1,39 +0,0 @@
-{
-  "_name_or_path": "nferruz/ProtGPT2",
-  "activation_function": "gelu_new",
-  "architectures": [
-    "GPT2LMHeadModel"
-  ],
-  "attn_pdrop": 0.1,
-  "bos_token_id": 0,
-  "embd_pdrop": 0.1,
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-  "initializer_range": 0.02,
-  "layer_norm_epsilon": 1e-05,
-  "model_type": "gpt2",
-  "n_ctx": 1024,
-  "n_embd": 1280,
-  "n_head": 20,
-  "n_inner": null,
-  "n_layer": 36,
-  "n_positions": 1024,
-  "reorder_and_upcast_attn": false,
-  "resid_pdrop": 0.1,
-  "scale_attn_by_inverse_layer_idx": false,
-  "scale_attn_weights": true,
-  "summary_activation": null,
-  "summary_first_dropout": 0.1,
-  "summary_proj_to_labels": true,
-  "summary_type": "cls_index",
-  "summary_use_proj": true,
-  "task_specific_params": {
-    "text-generation": {
-      "do_sample": true,
-      "max_length": 50
-    }
-  },
-  "torch_dtype": "float32",
-  "transformers_version": "4.41.0.dev0",
-  "use_cache": true,
-  "vocab_size": 50261
-}

output/eval_results.json

@@ -1,10 +0,0 @@
-{
-    "epoch": 3.0,
-    "eval_accuracy": 0.033327800217635886,
-    "eval_loss": 17.445270538330078,
-    "eval_runtime": 64.8009,
-    "eval_samples": 53,
-    "eval_samples_per_second": 0.818,
-    "eval_steps_per_second": 0.108,
-    "perplexity": 37703765.88695272
-}

output/generation_config.json

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-{
-  "_from_model_config": true,
-  "bos_token_id": 0,
-  "eos_token_id": 0,
-  "transformers_version": "4.41.0.dev0"
-}

output/model.safetensors

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output/special_tokens_map.json

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-{
-  "additional_special_tokens": [
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-      "normalized": false,
-      "rstrip": false,
-      "single_word": false
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-      "content": "POSITIVE",
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output/tokenizer_config.json

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-{
-  "add_prefix_space": false,
-  "added_tokens_decoder": {
-    "0": {
-      "content": "<|endoftext|>",
-      "lstrip": false,
-      "normalized": true,
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-  "clean_up_tokenization_spaces": true,
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-  "model_max_length": 1000000000000000019884624838656,
-  "tokenizer_class": "GPT2Tokenizer",
-  "unk_token": "<|endoftext|>"
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output/train_results.json

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-{
-    "epoch": 3.0,
-    "total_flos": 2755037940940800.0,
-    "train_loss": 18.205491054205247,
-    "train_runtime": 2686.1496,
-    "train_samples": 211,
-    "train_samples_per_second": 0.236,
-    "train_steps_per_second": 0.03
-}

output/trainer_state.json

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-{
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-  "best_model_checkpoint": null,
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-  "eval_steps": 500,
-  "global_step": 81,
-  "is_hyper_param_search": false,
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-  "max_steps": 81,
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-  "num_train_epochs": 3,
-  "save_steps": 500,
-  "stateful_callbacks": {
-    "TrainerControl": {
-      "args": {
-        "should_epoch_stop": false,
-        "should_evaluate": false,
-        "should_log": false,
-        "should_save": false,
-        "should_training_stop": false
-      },
-      "attributes": {}
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-  "trial_name": null,
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-}

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