Training in progress, epoch 8, checkpoint

checkpoint-83280/README.md

@@ -0,0 +1,202 @@
+---
+base_model: FacebookAI/roberta-large
+library_name: peft
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.9.0

checkpoint-83280/adapter_config.json

@@ -0,0 +1,33 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "FacebookAI/roberta-large",
+  "bias": "all",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": [
+    "classifier.bias",
+    "classifier.weight"
+  ],
+  "peft_type": "LORA",
+  "r": 64,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "key",
+    "dense",
+    "value",
+    "query"
+  ],
+  "task_type": "TOKEN_CLS",
+  "use_dora": false,
+  "use_rslora": false
+}

checkpoint-83280/adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:eed5dd2a302e8cf0cf3518869b6ba40d2704ba1dde37deccc292c9f88128a3a8
+size 116274968

checkpoint-83280/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:476fa79f910642f4af0091dd648655cba5f48e2b3b7a087f84e0726abfe2404c
+size 232807995

checkpoint-83280/rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:56f32de47e7c7e9b2c3e6e9de06e87c25f18688a307685501df43b5e4e56bd36
+size 14244

checkpoint-83280/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:15290a8272817a9a1c22371120a91b9e4dab054be0303cf78c0b775d7bd9f40e
+size 1064

checkpoint-83280/special_tokens_map.json

@@ -0,0 +1,15 @@
+{
+  "bos_token": "<s>",
+  "cls_token": "<s>",
+  "eos_token": "</s>",
+  "mask_token": {
+    "content": "<mask>",
+    "lstrip": true,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "unk_token": "<unk>"
+}

checkpoint-83280/tokenizer_config.json

@@ -0,0 +1,57 @@
+{
+  "add_prefix_space": true,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<pad>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "3": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50264": {
+      "content": "<mask>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "<s>",
+  "eos_token": "</s>",
+  "errors": "replace",
+  "mask_token": "<mask>",
+  "model_max_length": 512,
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "tokenizer_class": "RobertaTokenizer",
+  "trim_offsets": true,
+  "unk_token": "<unk>"
+}

checkpoint-83280/trainer_state.json

@@ -0,0 +1,162 @@
+{
+  "best_metric": 0.6673381924629211,
+  "best_model_checkpoint": "verbnet_train/checkpoint-83280",
+  "epoch": 8.0,
+  "eval_steps": 500,
+  "global_step": 83280,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 1.0,
+      "grad_norm": 13.90185260772705,
+      "learning_rate": 1.960034582132565e-05,
+      "loss": 1.9688,
+      "step": 10410
+    },
+    {
+      "epoch": 1.0,
+      "eval_loss": 1.0218104124069214,
+      "eval_runtime": 27.1535,
+      "eval_samples_per_second": 161.453,
+      "eval_steps_per_second": 20.182,
+      "step": 10410
+    },
+    {
+      "epoch": 2.0,
+      "grad_norm": 35.40193176269531,
+      "learning_rate": 1.9200499519692607e-05,
+      "loss": 0.9642,
+      "step": 20820
+    },
+    {
+      "epoch": 2.0,
+      "eval_loss": 0.8278869986534119,
+      "eval_runtime": 27.1826,
+      "eval_samples_per_second": 161.28,
+      "eval_steps_per_second": 20.16,
+      "step": 20820
+    },
+    {
+      "epoch": 3.0,
+      "grad_norm": 0.9018324613571167,
+      "learning_rate": 1.8800653218059558e-05,
+      "loss": 0.7979,
+      "step": 31230
+    },
+    {
+      "epoch": 3.0,
+      "eval_loss": 0.7543942928314209,
+      "eval_runtime": 27.2955,
+      "eval_samples_per_second": 160.612,
+      "eval_steps_per_second": 20.077,
+      "step": 31230
+    },
+    {
+      "epoch": 4.0,
+      "grad_norm": 10.808300018310547,
+      "learning_rate": 1.840073006724304e-05,
+      "loss": 0.7172,
+      "step": 41640
+    },
+    {
+      "epoch": 4.0,
+      "eval_loss": 0.7305750250816345,
+      "eval_runtime": 27.2998,
+      "eval_samples_per_second": 160.587,
+      "eval_steps_per_second": 20.073,
+      "step": 41640
+    },
+    {
+      "epoch": 5.0,
+      "grad_norm": 2.197155714035034,
+      "learning_rate": 1.8000922190201732e-05,
+      "loss": 0.6632,
+      "step": 52050
+    },
+    {
+      "epoch": 5.0,
+      "eval_loss": 0.7061994671821594,
+      "eval_runtime": 27.2802,
+      "eval_samples_per_second": 160.703,
+      "eval_steps_per_second": 20.088,
+      "step": 52050
+    },
+    {
+      "epoch": 6.0,
+      "grad_norm": 6.914452075958252,
+      "learning_rate": 1.7601075888568687e-05,
+      "loss": 0.6295,
+      "step": 62460
+    },
+    {
+      "epoch": 6.0,
+      "eval_loss": 0.6925345659255981,
+      "eval_runtime": 27.2037,
+      "eval_samples_per_second": 161.154,
+      "eval_steps_per_second": 20.144,
+      "step": 62460
+    },
+    {
+      "epoch": 7.0,
+      "grad_norm": 0.11944844573736191,
+      "learning_rate": 1.720126801152738e-05,
+      "loss": 0.5954,
+      "step": 72870
+    },
+    {
+      "epoch": 7.0,
+      "eval_loss": 0.6798752546310425,
+      "eval_runtime": 27.2603,
+      "eval_samples_per_second": 160.82,
+      "eval_steps_per_second": 20.103,
+      "step": 72870
+    },
+    {
+      "epoch": 8.0,
+      "grad_norm": 10.490527153015137,
+      "learning_rate": 1.6801383285302596e-05,
+      "loss": 0.5732,
+      "step": 83280
+    },
+    {
+      "epoch": 8.0,
+      "eval_loss": 0.6673381924629211,
+      "eval_runtime": 27.2557,
+      "eval_samples_per_second": 160.847,
+      "eval_steps_per_second": 20.106,
+      "step": 83280
+    }
+  ],
+  "logging_steps": 500,
+  "max_steps": 520500,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 50,
+  "save_steps": 500,
+  "stateful_callbacks": {
+    "EarlyStoppingCallback": {
+      "args": {
+        "early_stopping_patience": 5,
+        "early_stopping_threshold": 0.0
+      },
+      "attributes": {
+        "early_stopping_patience_counter": 0
+      }
+    },
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": false
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 7.392068613528509e+16,
+  "train_batch_size": 8,
+  "trial_name": null,
+  "trial_params": null
+}

checkpoint-83280/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6bdb2e901eefd68f47c837dfc8d3a17b8e620f44c69f88daca90b845a1a07a5b
+size 5176